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Data Analyst with less than a year in HR data reconciliation and strong skills in SQL, Python, and P
Data Analyst with 9 months of enterprise-level experience in HR data reconciliation, validating 10,000+ employee records across Workday and SAP (HR Core) systems for global operations spanning multiple countries. M.Sc. in Data Science with expertise in SQL, Python, Power BI, and machine learning. Excelled in data quality management, large-scale migration validation, and delivering actionable insights to cross-functional stakeholders. Demonstrated hands-on project experience in sales analytics using Python and Power BI, with code published on GitHub. Eager to leverage skills in a full-time Data Analyst or Associate Data Scientist role.
SASTRA Deemed University
M.Sc · Data Science
August 1, 2023 – June 30, 2025
Shrimati Indira Gandhi College
B.Sc · Physics
August 1, 2019 – June 30, 2022
DocIT SYRL India (OPC) Private Limited
Junior Data Engineer
August 1, 2025 – April 1, 2026
India
DocIT SYRL India (OPC) Private Limited
SQL Intern
February 1, 2025 – July 1, 2025
India
Sales Performance Dashboard
April 1, 2026 – April 1, 2026
• Analyzed 9,800 retail transactions worth $2.26M using Python (Pandas, Matplotlib, Seaborn) to uncover regional and category-level sales trends • Built an interactive Power BI dashboard with 4 KPI cards identifying Technology as top revenue segment (36.59%) and West as highest-performing region • Published complete code and visualizations on GitHub with documented README
View ProjectPredictive Modelling with ANN
July 1, 2025 – December 1, 2025
• Developed an ANN-based neuroevolutionary model to predict continuous output from time-series input data, applying the Runge-Kutta numerical method • Validated model predictions using regression analysis in MATLAB; achieved strong fit between predicted and observed values
View ProjectIntroduction to Data Science
Cisco Networking Academy
June 1, 2026 – Present
Clinical Data Analytics Workshop
SASTRA University & Clinosol Research Pvt. Ltd.
June 1, 2026 – Present
Data Analysis with Python
Cognitive Class, IBM
June 1, 2026 – Present
Understanding Incubation and Entrepreneurship
NPTEL
July 1, 2024 – October 1, 2024
Cultural Fit Analysis
The candidate's academic background in Physics and Data Science, coupled with practical experience in data reconciliation and predictive modeling, indicates a strong analytical mindset. Their involvement in both personal and academic projects, along with certifications, shows a proactive learning attitude. The experience with enterprise systems like SAP and Workday suggests an ability to adapt to structured corporate environments. The target role of Data Analyst aligns well with their demonstrated skills in data manipulation, analysis, and visualization.
Soft Skills & Operational Fit
The candidate demonstrates attention to detail through data reconciliation and discrepancy identification. Their involvement in UAT calls and collaboration with senior team members suggests a capacity for teamwork and operational adherence. The project descriptions indicate a structured approach to problem-solving and documentation.