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Data Science with 2+ years in data analysis & visualization.
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Detail-oriented professional with 2.5 years in lead generation and research in validating email IDS across diverse platforms with proven 70% accuracy. Transitioning into data analytics with hands-on skills in Python, Power BI, Tableau and SQL with strong analytical and problem-solving abilities to support data-driven decision making.
Gujarat Technological University
Bachelor of Electrical Engineering · Electrical Engineering
August 1, 2015 – June 30, 2019
Zocdoc
Lead Generation Researcher
April 1, 2022 – November 1, 2024
India
Teleperformance Global Services Private Limited
Customer Service Associate
February 1, 2020 – May 1, 2020
Ahmedabad, Gujarat, India
Behavioral Analytics on Fitbit User Data
June 1, 2026 – Present
Analyzed Fitbit data using NumPy to uncover activity-emotional well-being patterns and developed personalized engagement approaches that enhanced user loyalty and lifetime value.
Country-Level Development Insights Using McKinsey Dataset
June 1, 2026 – Present
Analyzed 1,700+ global records, revealing a GDP-life expectancy trend using Pandas and highlighting healthcare, education, and social investments as significant drivers of living conditions.
Strategic Insights from IMDB Movie & Director Analysis
June 1, 2026 – Present
Evaluated movies & director's records to uncover budget-rating dynamics using Pandas and highlighted quality storytelling, strong direction and ROI-focused filmmaking are the key drivers for the success.
Customer Churn Analysis
June 1, 2026 – Present
Analyzed a telecom company customers' data to uncover the pattern Of customer churning using Power BI And restructured the strategies that will increase youth engagement and boost customer satisfaction.
Life Expectancy Analysis
June 1, 2026 – Present
Analyzed Healthcare data using Power BI to identify the pattern behind low life expectancy with high investment and countries witnessing.
Car's 24 EDA Analysis
June 1, 2026 – Present
Analyzed 13k+ cars' records to uncover the patterns of how each feature influenced the selling price and predicted the automated selling price by applying ML techniques like encoding, feature engineering and scaling to improve the model accuracy.
Home Loan ranting Eligibility Analysis
June 1, 2026 – Present
analysed 614+ applicants' data to determine home loan eligibility by uncovering data patterns, handled missing data by applying ML techniques like feature engineering, imputation, encoding categorical features and normalization/standardization.
Superstore Store Analysis
June 1, 2026 – Present
Analyse retail store data to uncover demand drivers, identified underperforming product categories using Tableau, and recommended focusing on high-demand categories, leveraging seasonal peaks to drive sustainable revenue growth.
Master in Data Analytics with Gen AI program
Coding Wise
January 1, 2025 – Present
Data analytics using Power BI workshop with end-to-end project
TechTip 24
January 1, 2023 – Present
Business Writing
Coursera
January 1, 2020 – Present
Cultural Fit Analysis
The candidate's extensive personal projects in data analysis and machine learning, despite a non-traditional educational background (Electrical Engineering) and professional experience (Lead Generation, Customer Service), indicate a strong passion and initiative for the Data Science field. This self-driven learning and project diversity suggest a good cultural fit for roles that value continuous learning and proactive problem-solving. The 'Master in Data Analytics with Gen AI program' certification further reinforces their commitment to the field.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and communication skills through project descriptions and the 'Lead Generation Researcher' role. Their experience in presenting proposed solutions and collaborating with teams suggests good operational fit for data-driven environments. The diverse range of personal projects indicates a proactive learning attitude and self-motivation.