Data Science

Associate Consultant, Data Science 11

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Strategic and results-driven business analyst with 5+ years of consulting experience in designing and developing data-driven products and solutions, Seeking to utilize hands-on machine learning experience in building tools for business decision making, which possess strong communication skills and excellent ability to collaborate with cross-functional teams. Annual Hackathon – Special recognition for advanced analytics (ZS Associates, Pune, India) in the year 2017, for developing a data mining analytics tool to gauge brand health using sentiment analysis on the web discussion forum for medical representatives.

Industry and Project Experience

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KMK Consulting Inc., Associate Manager, Data Science Jan 2022 – Present

Pharma Consulting Firm, Data Science – Project Leader Jul 2020 – Jan 2022

⦿ Improved effectiveness of marketing effort by 26% QoQ by designing novel market segments and optimizing messaging to align with the segment profile for a $25B brand in the US market.
⦿ Decreased customer churn by 4pp/quarter by improving targeting strategy. Enabled agile strategy implementation by designing executive dashboards to help senior leadership course-correct based on simplified KPIs and visuals.

Healthcare Consulting Firm Mar 2015 – May 2019

Data Science – Associate Consultant Jul 2017 – May 2019

⦿ Increased marketing effectiveness by 18% by reallocating ~$10MM of investment to ‘driver’ channels based on promotional response models while leading a team of 3 associates for a fortune 100 client.
⦿ Recommended allotting $20MM from TV to digital promotion budget by analyzing market growth drivers using regularized linear regression, hypothesizing marketing pathways and channel interplay.
⦿ Reduced man-hour by ~20% by creating python modules in collaboration with the business technology team to automate big data analytical requirements for 6 US brands.

Data Science – Associate Mar 2015 – Jun 2017

⦿ Developed and maintained database schema and created tables/views using complex SQL queries to prepare for ad-hoc requests and track key performance metrics for the brand, reducing manual effort by 30%.
⦿ Developed a non-linear constrained budget optimization model in R to formulate a long-term marketing investment strategy for a $15B blockbuster US product and help attain its forecasted revenue.
⦿ Profiled US geography using K means and hierarchical agglomerative clustering and created a VBA-based sub-national playbook for cluster-based targeting, assisting sales reps in targeting ~23K customers across 120 territories.

Financial Technology Firm, Consultant Jun 2014 – Feb 2015

Worked at client location offering product and service guidance as a support engineer.

Data Analytics Projects:

⦿ Humana-Mayes case challenge – Opioid addiction, Fall 2019
Improved the accuracy of a model predicting opioid addiction using medical event data for opioid patients by 13pp.
⦿ Customer Acquisition using Google Analytics, Fall 2019
Using Google Analytics built a machine learning model to measure the effectiveness of digital campaigns and increase website conversion rates. Created a self-trained seasonal ARIMA model to forecast future conversions with ~0.35 RMSE.

Technical Skills

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Languages: Python, R, SQL, C++, SAS, Spark, VBA
Database: Redshift, Teradata, Hive, MySQL, Oracle
Tools/Technologies: Tableau, scikit-learn, TensorFlow, Keras, pandas, matplotlib, NumPy, LPsolve
Data sets: APLD, Promotion data, DDD and Xponent
Other skills: MS PowerPoint, Excel, and Word, team and task management


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Master of Science in Business Analytics
The University of Texas at Austin (2022)
Bachelor of Technology, Electronics & Communication
National Institute of Technology, Patna (2014)
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