Analytically driven and ambitious professional having 3+ years of diverse experience in customer insights, business consulting, data management and business reporting. Skilled in data analytics, statistics, modeling and visualization.

Industry and Project Experience

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KMK Consulting Inc | USA,
Consultant/Field Force Analytics Lead, Insights and Execution (May 2022- Present)

⦿ Lead Cardiovascular field force analytics teams for 2 leading brands
⦿ Build strategic business partnership with key stakeholders across Analytics, Sales, Marketing, Operations, and IC
⦿ Perform execution data analysis to determine actionable insights, execution, and impact assessment
⦿ Monitor brand performance, KPI management and analysis and formulate strategic recommendations for the brand teams
⦿ Built a geospatial analytic capability to address dual product dynamics in order to quantify sales force impact, identify pockets of opportunities and ensure call plan adherence

Management Consulting Company | USA,
Lead Business Analyst, Hematology Sales Support & Field Analytics (Oct 2020 – May 2022)

⦿ Developed Tableau dashboards showcasing KPIs that give insights into Sales Trends, Customer Segmentation, Targeting and Incentive compensation
⦿ Collaborated with data vendors to obtain right data sources required for analyses, manage Salesforce (Veeva CRM) and in-built platforms for the field
⦿ Built a predictive algorithm using machine learning models for an ongoing project ‘Smart Alerts’, aiming to get a data-driven understanding of patient journey to predict where patients are in the journey and their likely paths so that we can unlock new opportunities and defined tactics
⦿ Consolidate raw data sources like patient claims data, non-retail, specialty pharmacy and shipments data to get an integrated nationwide demand across all the products in the AML, MM, Myeloid markets.

Management Consulting Company, India
Decision Analytics Associate, Oncology Analytics Pod (Mar 2018 – Jul 2019)

⦿ Performed launch analytics and developed recommendations for product launch in gigantic $150B Oncology Market by leveraging patient level claims data and electronic medical records
⦿ Developed key performance metrics to quantify sales force impact and involved in spatial analysis to help the client identify pockets of opportunities using R Studio and Teradata
⦿ Developed segment profiling for patients in the pulmonary disease market using the market research data to derive insights for determining differentiating factors across multiple attributes such as disease perceptions, behaviors, attitudes, and receptivity to the product
⦿ Researched and analyzed the $2 Billion cancer profiling market; analysis was used as an input for the production of a newly launched profiling kit
⦿ Determined the size of sales force required for a new product launch based on market potential; found the optimal geographical alignment for them and helped them in customer prioritization doing targeting exercises
⦿ Special recognition for designing and implementation of a new process which reduced manual effort by over 50% and minimized the human error.

Education/Tutor Management Company, India
Business Development Executive (Mar 2017 – Feb 2018)

⦿ Spearheaded tutor acquisition division of Business development, increased tutor base from 550 to 970 in a span of 8 months (80% Growth).
⦿ Analyzed datasets of tutors and client to assign potential tutors for different clients based on the requirement, tutor qualification.
⦿ Analyzed client’s feedback to evaluate the tutor’s performance gaining proficiency in Market Research and MS Excel.
⦿ Performed analyses to study learning patterns of students which helped them grow academically.

Academic Projects

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⦿ Sarcasm Detection using NLP: Built a model to detect sarcasm in news headlines using Keras in Jupyter Notebook (Python), final model resulted with an accuracy of 86%
⦿ Prediction of Housing Prices using ML: Conducted research on the factors influencing the housing prices using statistical modeling techniques like Linear Regression and Decision Trees on the Boston Housing data set in R
⦿ Default Risk Prediction using ML: Developed a classification model in R to predict probability of credit default
⦿ Profitable Investments using Time Series: Analyzed rental, property, and revenue data in R to recommend most profitable zip codes for investment within the New York City.
⦿ Detection of Malignancy in Breast Cancer cells using ML: Techniques used include CART, Random Forest, Neural Network.

Technical Skills

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Key Skills: Data Management, Wrangling, Visualization, Data Mining, Machine Learning, Business Intelligence & Reporting, Forecasting, Statistical Modelling, Simulation Modelling, Big Data Integration

Tools: Python, R, SQL, SAS, Tableau, AWS, Microsoft Excel, Microsoft PowerPoint


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Master’s in business Analytics
University of Cincinnati, US (Aug 2020)

Bachelor in civil engineering
College of Engineering Pune, India (June 2016)

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