Nov 2021 – Oct 2024 · 2 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

• As a Program Manager at LinkedIn, I managed assets for LinkedIn Talent Insights, working closely with a team of 35 consultants and 200 sales reps to improve customer usage and ultimately support $90 million in annual bookings.
• I delivered new predictive metrics and internal tools for approximately 6,000 reps by collaborating with data scientists and engineers, and led the product roadmap, prioritization, and awareness of our CRM system to improve the RevOps efficiency of sales reps, achieving a 72% MAU in the first quarter.
• In addition, I was responsible for the development and maintenance of Merlin insights, leveraging LinkedIn's data to create innovative narratives and tools that addressed various business challenges.
• Utilizing SQL/Presto/Hadoop, I extracted necessary data and used Tableau/Excel/PowerPoint to analyze the results and present relevant business insights and recommendations to clients.
• I also collaborated closely with Sales, Customer Success, Programs, Data Science, and Insights teams to provide analyses, reporting, and tool-building capabilities to inform our key stakeholders, built cross-functional consensus on analyses deliverables, and ensured that all projects were delivered on time and within scope.
• Furthermore, I managed a suite of tools and code base around the LinkedIn Recruiter product, serving internal stakeholders, and worked with cross-functional partners on go-to-market programs for new product features. I also revamped various key business metric, in collaboration with multiple teams, including Product, Product Marketing, Data Science, Customer Success, CSO Sales Operations, and others.
• Overall, my experience as a Program Manager at LinkedIn has equipped me with strong product management, data analysis, and cross-functional collaboration skills, enabling me to drive successful programs that deliver impactful results.

Jan 2021 – Oct 2021 · 9 mos · Bengaluru, Karnataka, India · Remote

• Led a team of 2 analysts in performing A/B testing and campaign analysis to optimize customer engagement and drive revenue growth for Hudson's Bay Company.
• Utilized Python and Excel to conduct data analysis on customer behavior, campaign performance, and ROI to identify areas for improvement and optimization.
• Collaborated with cross-functional teams to develop and implement A/B testing strategies using Adobe Analytics to evaluate the effectiveness of different marketing initiatives.
• Created reports and visualizations to communicate results and recommendations to stakeholders and senior management.
• Successfully increased email open rates and click-through rates by 15% through data-driven insights and optimization strategies.
• Coached and mentored team members to improve their analytical skills and enhance team performance.

Jan 2020 – Jan 2021 · 1 yr · Greater Bengaluru Area · Hybrid

• As a Senior Analyst for one of the largest BFSI clients, I enabled them to improve their online campaign performance and increase conversions. Some of my key achievements in this role include:
• Developed a forecast model in Python that predicts conversions for each media channel and identifies KPIs that need to be fine-tuned for better performance. The model was built using Ads data obtained from GCP (Big Query).
• Led A/B testing to analyze the impact of changing landing pages on campaign performance, using Adobe Analytics.
• Demonstrated proficiency in using Adobe Analytics to analyze campaign data and optimize performance.
• Automated the extraction of UTM parameters using Crontab and Python for better conversion analysis.
• Successfully increased daily conversions from 4000 to 8000 in just 6 months.
• Led and coached a team of three people to help them manage their projects and improve their skills proactively.
• Overall, my work helped the client analyze their online campaigns more effectively, improve their ROI, and drive business growth. My skills in Adobe Analytics, Python, and Excel played a key role in achieving these results.

Apr 2018 – Jan 2020 · 1 yr 9 mos · Greater Bengaluru Area · On-site

• Lead Data Analyst (USA Retail | Supply Chain Analyst | Team Lead)
• Led a high-performing offshore team in collaborating with the Sr. Director of Supply Chain for one of the largest retailers in the USA as a supply chain analyst. Implemented Activity Based Costing to identify the hidden cost components in the client's Supply Chain Network, resulting in savings of $300 Million. As team lead, I oversaw the following:
• Project Planning: Gathered requirements and developed project plans, reviewed codes, requirements, and project plans, and investigated available resources to develop more useful project plans.
• Data Lake Creation: Created a Hadoop data lake using HIVE tables and established an automated pipeline between Teradata, Informix, and other data sources using TDCH and Sqoop Connectors, with the entire process automated using Automic.
• Machine Learning: Developed a Linear Regression algorithm to detect and correct anomalous values, ensuring data accuracy.
• Activity-Based Costing: Enabled the client to identify various segments within the supply chain by calculating activity-based costs at the segment level, improving vendor negotiation capabilities and simplifying the supply chain network.
• Overall, my leadership and technical skills enabled me to drive significant cost savings for the client while delivering high-quality data solutions.

Sep 2016 – Apr 2018 · 1 yr 7 mos · Greater Bengaluru Area · On-site

• Data Analyst and Pharmaceutical Sourcing Analyst (USA Retail Pharmacy)
• Led the implementation of an analytical roadmap for a joint venture between one of the largest retailers and its drug supplier, resulting in cost savings and improved supplier management.
• Established a foundational data infrastructure, creating a data warehouse from scratch and implementing an automated data feed pipeline using DataStage and CA-7.
• Built advanced systems on top of the data infrastructure, such as the Bid Management system, which helped sourcing managers analyze multiple bids submitted by drug manufacturers and identify the best options.
• Developed innovative analytical tools, including a cost-forecasting tool, to help sourcing managers anticipate the price movements of different drugs and make informed decisions on when to acquire them to minimize acquisition costs.
• Leveraged data insights to keep the client ahead of the curve in the dynamic drug industry, providing strategic guidance on purchasing and supplier management.