Objective

• The company was acquiring customers at a rapid pace, but its manual processes(a rule-based system) in generating fault notifications was not enough to cater to all customers with current manpower.
• Given that the current solution heavily relied on condition monitoring experts' manual efforts, its effectiveness was primarily limited to daytime hours. There was a pressing need for a solution that could operate continuously, 24/7.

Solution Implemented

• Led the development of machine learning-based solutions to identify machine failures.
• Improved the rule-based logic to identify faults in new machines, freshly scouted by the sales team or previously not covered under IU services. The solution was integrated with the current workflow of fault notifications.

Roles and Responsibilities

• Team Size: 4
• Project Duration: 12 months
• Organization: Infinite Uptime, Pune, India

My Responsibilities

• I successfully led the onboarding of two fresh graduate students, equipping them with the necessary skills and knowledge to contribute effectively in their first professional role. Facilitated their integration into the team and ensured a smooth transition into the project environment.


• Collaborated with condition monitoring experts to gain a deep understanding of the existing problem and solutions through comprehensive demos and training sessions. This phase was critical in aligning the project goals with industry standards and expectations.


• Leveraged insights gained from industry experts to conduct targeted feature engineering, enhancing the predictive capabilities of our models. Led the team in training and benchmarking machine learning models against existing solutions to ensure superior performance and relevance.


• Managed the iterative process of model refinement by incorporating feedback from multiple stakeholders. Finalized a machine learning model that met the diverse needs and expectations of all parties involved, ensuring its effectiveness and applicability.


• Directed the integration of the new machine learning model into the existing fault detection processes. Oversaw technical and operational adjustments to ensure seamless adoption and functionality within the current systems.


• In a joint effort with condition-based maintenance (CBM) experts, spearheaded the development and deployment of logic to identify new types of faults. This task involved similar research-intensive activities, underscoring the project's innovative and exploratory nature.

Objective

• The company faced significant delays in feature development due to a lengthy backlog awaiting prioritization by the software team. The slow pace of sorting and addressing these requests hampered our agility and delayed the introduction of features.
• Simultaneously, our process for integrating user feedback into the product development lifecycle was less than optimal. Important insights and suggestions from our users frequently went unaddressed, leading to missed opportunities for improvement. This sluggish response to user feedback often resulted in a noticeable gap between customer expectations and the features we delivered impacted our overall market responsiveness and hindered our ability to drive innovation forward in a competitive landscape.

Solution Implemented

• Led the development of multiple apps on Zoho platform to support various business functions such as customer onboarding, Device management service.
• To tackle the extensive delays in feature development and the slow incorporation of user feedback, I spearheaded an initiative leveraging the Zoho platform. I led the development and deployment of a suite of applications designed to streamline critical business functions. This included a sophisticated customer onboarding app expedited the integration of new users and ensured their feedback was quickly captured and analyzed. Additionally, we created a comprehensive device management service app to enhance operational control and efficiency.
• These applications were developed with a dual focus: firstly, to significantly reduce the backlog by prioritizing features that offered the most value to both the company and our customers, and secondly, to enhance our responsiveness to user needs. By automating key processes and integrating real-time feedback mechanisms, we were able to more swiftly adapt our products to meet market demands and user expectations in a more agile and customer-focused development environment.

Roles and Responsibilities

• Team Size: 6
• Project Duration: 4 months
• Organization: Infinite Uptime, Pune, India

My Responsibilities

• As a first step, I mapped out the user journeys for critical tasks such as user onboarding and device replacement/management. This deep dive into the user experience helped identify pain points and opportunities for optimization, guiding the design of targeted solutions to enhance user interaction and satisfaction.
• Leveraging the Zoho platform, I led the development of specialized applications tailored to streamline these identified tasks. Concurrently, I took on a mentorship role, empowering other developers by sharing best practices and technical know-how.
• I managed the release of these new apps, ensuring they were rolled out smoothly and effectively across different user groups. This involved coordinating with cross-functional teams to guarantee that deployment aligned with our broader business objectives and that feedback loops were established. Managing the user groups post-deployment allowed us to gather critical insights and make iterative improvements, enhancing user engagement and operational efficiency.

Objective

• Typically when any organization starts improving on its services it tends to increase its mundane/routine work. These tasks are critical in ensuring various processes or due diligence but they quickly start consuming the bandwidth of your most valuable employees! These tasks, essential for maintaining processes and due diligence, begin to take up the time of the most valuable employees. This diversion of resources from their areas of expertise hampers productivity and reduces innovation.
• The organization was looking for some quick solutions that could take care of these tasks and the employees could focus on tasks that require their expertise.

Solution Implemented

• Led the development of various Python-based .exe scripts that enable non-programmers to execute parts of their tasks directly on their machines. Solutions include:
• make_weekly_ppt.exe: Generates high-quality PowerPoint presentations for weekly updates on various company services.
• make_daily_excel.exe: Produces diverse reports in Excel, aiding teams in streamlining the data collection process for various tasks.
• All the aforementioned .exe files utilize existing APIs to fetch data. Written in Python, these scripts facilitate any required data transformation before generating Excel sheets or PowerPoint presentations with all the necessary formatting.

Roles and Responsibilities

• Team Size: 4
• Project Duration: 4 months
• Organization: Infinite Uptime, Pune, India

My Responsibilities

• I first conduct in depth analyses to understand the specific challenges associated with various routine tasks throughout the organization. This helped me identify inefficiencies, bottlenecks, and areas where automation can significantly improve workflows.
• I utilized existing APIs and Python to develop tailored scripts that automate these routine tasks. This development process with the software developer team focused on creating reliable, user-friendly tools designed to streamline operations and reduce manual labor.
• I was engaged with end users and stakeholders throughout the development to demonstrate how these utility tools can be integrated into various processes. I provided training and support to ensure adoption and to highlight how these tools bring about overall efficiencies in the system.

Objective

• Despite achieving record sales, senior management at FRR remained concerned about the profitability at the individual product level. Although the company reached overall profitability, it was paradoxically experiencing losses across several product lines. This situation highlighted a critical need for a strategic review and realignment of the cost structures and pricing strategies to improve the financial performance of each product.

Solution Implemented

• First, we looked at the root problem and strategically revised the pricing of all 800+ products to optimize the balance between maintaining a competitive edge and profitability. This update was aimed at maximizing returns while ensuring market competitiveness.
• We instituted a standardized process for pricing new products to ensure consistency and alignment with our overall profitability goals. To make sure that the pricing decisions were made systematically in line with strategic financial objectives, I led the development of a deal pricing calculator to standardize the quote generation process. This tool streamlined the creation of quotes, ensuring they the product line remained profitable.
• To ensure transparency and no foul play, I instituted a rigorous deal review process that all sales negotiations must undergo to obtain approval for any discounts offered by sales representatives. This ensured that all pricing adjustments were justified, maintained profit margins, and aligned with corporate policy on discounts and concessions.

Roles and Responsibilities

• Team Size: 4
• Project Duration: 15 months
• Organization: Wolters Kluwer, Pune, India

My Responsibilities

• To understand the root cause behind the low profits across various product lines, I conducted a data-driven analysis to understand the underlying reasons. This involved dissecting information ranging from financial data to identifying inefficiencies in the sales processes.
• Through weeks of analysis, we instituted a Design and implemented robust processes and tools aimed at enhancing profitability in future deals.
• Adoption of the tool by the sales team was a challenge, and I had to ensure that the tools/process were being used/followed by everyone. This responsibility involves regular training sessions, continuous monitoring, and periodic reviews to guarantee that the procedures are effectively integrated into daily operations.

Objective

• The marketing team was in the dark about how well their campaigns were performing, which made it tough to allocate resources wisely or fine-tune our strategies. Without clear data, it was challenging to figure out what’s working and what’s not, affecting our ability to get the most out of our marketing spend.

Solution Implemented

• Recognizing the fragmented nature of our marketing data, I merged data from Eloqua, Salesforce, and Google Analytics to build a comprehensive lead funnel. Next, I developed attribution models to assess how different marketing campaigns influenced lead nurturing. By understanding which campaigns were most effective at moving leads through the sales funnel, we could optimize our efforts to focus on high-impact strategies that drive conversions.
• To ensure that these insights were actionable and comprehensible, I developed a series of interactive Tableau dashboards.

Roles and Responsibilities

• Team Size: 4
• Project Duration: 8 months
• Organization: Wolters Kluwer, Pune, India

My Responsibilities

• Streamlined the integration of data from various sources to ensure a cohesive and comprehensive dataset for analysis.
• Crafted sophisticated logic for our campaign attribution model, enabling precise identification of each campaign's influence on lead progression. I communicated the insights from our analysis to the marketing team through dashboards.

Objective

• The company's vision did not earlier reflect customers' feedback and issues with our products or features. These issues would also point to features of competitors' products that are missing from ours.

Solution Implemented

• Developed Python scripts to automate the extraction and refinement of survey data, significantly enhancing processing efficiency. In addition to that, I conducted various statistical tests on the data to ensure accurate, reliable insights for decision-making. Another feature I Implemented was to automate essential tasks for survey execution which streamlined the entire process.

Roles and Responsibilities

• Team Size: 8
• Project Duration: 4 months
• Organization: Wolters Kluwer, Pune, India

My Responsibilities

• Designed new surveys to gather feedback on the range of services offered by the company. This initiative captured direct customer insights and informed strategic data-driven improvements.
• Utilized advanced analytics to dissect and interpret survey data. These insights helped shape strategies and customer engagement tactics.
• In addition, I was a key collaborator with the market research team, managing extensive data sets and producing detailed PowerPoint presentations that highlighted key customer themes and insights.

Objective

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Solution Implemented

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Roles and Responsibilities

• Team Size: 6
• Project Duration: 4 months
• Organization: Infinite Uptime, Pune, India

My Responsibilities

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