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Data Science with 3+ years in data analysis, visualization & predictive modeling
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Assessing your cultural and operational fit
Results-driven Data Analyst with 3+ years of experience across data analysis, reporting, and process optimization, supported by a Simplilearn Masters Program certification (150+ hrs). Proficient in Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, Excel, Power BI, and Tableau, with hands-on experience in exploratory data analysis (EDA), statistical modeling, data visualization, ETL pipelines, and predictive modeling. Familiar with Git, Jupyter Notebook, and cloud platforms (AWS/GCP). Seeking a Data Analyst role to drive data-driven decision-making and deliver actionable insights.
Geetanjali College of Engineering and Technology
B-Tech · Electrical & Electronics Engineering
August 1, 2016 – June 30, 2020
Chaitanya Junior Kalasala
XII (SSC)
June 1, 2014 – May 31, 2016
Vijaya High School
X (SSC)
June 1, 2012 – May 31, 2014
IntouchCX
International Voice Process Executive
January 1, 2025 – September 1, 2025
Hyderābād, Telangana, India
Tech Mahindra
International Non-Voice Customer Support Executive
August 1, 2022 – June 1, 2024
Hyderābād, Telangana, India
Three Wire Technologies
Hardware Testing Engineer
June 1, 2020 – July 1, 2022
Hyderābād, Telangana, India
IPL Analysis Dashboard
September 1, 2025 – June 1, 2026
Analyzed IPL match data to uncover team performance trends, top-scoring batsmen, and winning patterns across seasons. Built interactive Power BI dashboard with slicers for season, team, and player; visualized strike rates, economy rates, and win percentages. Applied data cleaning and transformation using Pandas; derived KPIs including highest run-scorers and most economical bowlers.
View ProjectRetail Store Sales Analysis
September 1, 2025 – June 1, 2026
Performed end-to-end sales analysis on retail transaction data to identify top products, peak sales periods, and regional performance. Used SQL and Pandas for data extraction, cleaning, and aggregation; visualized trends with Matplotlib and Seaborn. Delivered actionable insights on inventory optimization and revenue growth opportunities.
View ProjectInsurance Data Analysis
September 1, 2025 – June 1, 2026
End-to-end EDA on 1,300+ insurance records; identified smoking status as highest-impact premium driver (+150% avg. premium vs. non-smokers). Data cleaning, outlier detection, and feature correlation using Pandas, NumPy, Matplotlib, and Seaborn.
View ProjectEmployee Performance Mapping
September 1, 2025 – June 1, 2026
Designed relational database for 50+ employees; wrote optimized SQL queries, views, and stored procedures. Produced KPI dashboard for 3 business units; reduced manual HR reporting time by ~40%.
Data Analyst Course Repository - Simplilearn
September 1, 2025 – June 1, 2026
Repository of all assignments, exercises, and mini-projects completed during the Simplilearn Data Analyst Masters Program. Covers EDA, statistical analysis, SQL queries, Tableau dashboards, and Python-based data tasks across 7 courses.
View ProjectQuarterly Appreciation Awards (3x)
Tech Mahindra
June 1, 2026 – Present
Data Analyst Masters Program
Simplilearn
December 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong drive for self-improvement and career transition, evidenced by pursuing a Data Analyst Masters Program and undertaking multiple personal data analysis projects. This initiative and continuous learning mindset align well with a culture that values growth and proactive problem-solving. The diversity of projects (retail, sports, insurance, HR) indicates adaptability and a broad interest in applying data science across different domains. However, the professional experience is not directly in data science, which might require a period of adjustment to a purely analytical environment.
Soft Skills & Operational Fit
The candidate's previous roles in customer support and hardware testing demonstrate strong operational skills such as attention to detail, adherence to SLAs, problem-solving, and maintaining high accuracy. These are transferable soft skills that would contribute positively to a data science role, particularly in data quality, validation, and presenting findings clearly. The experience in tracking trends with Excel dashboards also shows a foundational analytical mindset.