Strategic and results-driven business analyst with S+ 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. Possess strong communication skills and excellent ability to collaborate with cross functional teams. Annual Hackathon – Special recognition for advanced analytics in 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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Data Science – Project Leader, Pharma Consulting Company Jul 2020 – Present

⦿ 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 KPls and visuals.

Data Science -Associate Consultant, Pharma Consulting Company Jul 2017 -May 2019

⦿ Increased marketing effectiveness by 78% by reallocating ~$70MM of investment to ‘driver’ channels based on promotional response models while leading a team of 3 associates for a fortune 700 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 , Pharma Consulting Company 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 $75B 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 rep in targeting ~23K customers across 720 territories.

Consultant , Software Company Jun 2014 – Feb 2015

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

Technical Skills

Languages: Python, R, SQL, C++, SAS, Spark, VBA

Database: Redshift, Teradata, Hive, MySQL, Oracle

Tools/Technologies: Tableau, sci kit-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 (May 2020)
Bachelor of Technology, Electronics & Communication,
National Institute of Technology, Patna(May2074)

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