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Senior Data Analysis with 3+ years in Data Analytics & Machine Learning
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Assessing your cultural and operational fit
Passionate Data Analyst with 2+ years of hands-on experience turning raw, complex datasets into clear, actionable business insights that drive commerce and operational decisions. Proficient in SQL, Advanced Excel, Python (Pandas, NumPy), and data visualization tools – with a strong track record of building KPI dashboards, performing statistical analysis, uncovering revenue trends, and automating reporting workflows across large-scale real-world datasets. Detail-oriented, analytical, and 100% remote-ready – eager to help Polluxa build the future of commerce through the power of data.
Ilahia College of Engineering and Technology, Kothamangalam
Master of Computer Applications (MCA)
August 1, 2021 – June 30, 2023
Mar Elias College, Kottappady, Kothamangalam
Bachelor of Computer Applications (BCA)
August 1, 2018 – June 30, 2021
Ziya Academy
AI/ML Engineer Intern
July 1, 2025 – February 1, 2026
India
Internship Studio
Data Science & ML Intern
April 1, 2025 – October 1, 2025
India
Marian Academy of Management Studies
Assistant Professor - Computer Science
September 1, 2023 – May 1, 2025
India
LCC Aluva
Python ML Intern
February 1, 2023 – May 1, 2023
India
Global Covid-19 Data Analysis KPI Dashboard & Statistical Reporting
June 23, 2026 – Present
Collected, cleaned, and validated a raw multi-source global dataset (195 countries, multiple indicators) – built a scalable ETL pipeline handling data ingestion, schema normalization, missing value imputation, and feature engineering; managed structured MySQL storage for reliable analytics. Performed in-depth statistical analysis (correlation matrices, trend analysis, grouped aggregations, comparative KPI tracking) – delivered monthly performance dashboards with clear visual insights supporting data-driven reporting for management stakeholders.
Loan Approval Data Analysis - EDA, Reporting & Visualization
June 23, 2026 – Present
Conducted a full data quality audit and exploratory data analysis on structured financial dataset – handled missing values, outliers, and categorical encoding; performed feature importance analysis and built automated model performance dashboards with precision, recall, and ROC-AUC visualizations. Produced clean, structured Excel-compatible performance reports with conditional formatting, summary statistics, and trend charts – demonstrating professional data reporting skills aligned with commerce analytics environments.
Walmart Sales Analytics Commerce BI Dashboard & Insight Report
June 23, 2026 – Present
Analyzed large-scale Walmart retail commerce data – applied advanced feature engineering (time-based, categorical encoding), SQL-style groupby aggregations, and multi-dimensional correlation analysis to uncover 12 actionable commerce insights covering revenue drivers, seasonal sales trends, regional performance patterns, and product category performance. Built an executive-ready multi-chart BI dashboard (trend lines, heatmaps, scatter plots, bar charts) translating raw commerce data into clear decision-ready visual narratives – directly aligned with Polluxa's mission of turning commerce data into business value. Automated the complete data pipeline from raw ingestion to final insight report using Python – reduced manual analysis time by 60% while maintaining full data accuracy and report reproducibility.
Employee Performance Analytics Automated Data Reporting System
June 23, 2026 – Present
Automated employee performance data collection, NLP-based text analysis, and KPI report generation – achieved 91% classification accuracy; eliminated 75% of manual data processing effort through end-to-end Python pipeline automation with structured MySQL data storage and audit logging.
Python Machine Learning Internship Certification
LCC Aluva
June 1, 2026 – Present
Data Science Internship Certification
Internship Studio
June 1, 2026 – Present
Google Data Analytics Certificate
Coursera
June 1, 2026 – Present
Database Management System
NPTEL
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Advanced AI with Data Science
Expertzlab Technologies
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's project portfolio is diverse, covering retail commerce, global health, finance, and HR analytics, which aligns well with a dynamic data analysis role. The focus on turning 'raw, complex datasets into clear, actionable business insights that drive commerce and operational decisions' directly matches the target role's requirements. Their experience in automating reporting workflows and building KPI dashboards demonstrates a results-oriented approach. The teaching background suggests a willingness to share knowledge and potentially mentor, contributing positively to team culture. The certifications, including the Google Data Analytics Certificate (in progress), show a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate's experience as an Assistant Professor demonstrates strong communication and presentation skills, crucial for translating complex data insights to stakeholders. Their project descriptions highlight collaboration with cross-functional teams and a detail-oriented approach to data quality and validation. The emphasis on automating workflows suggests a proactive and efficiency-driven work attitude. The candidate also explicitly states being '100% remote-ready', indicating flexibility and adaptability to modern work environments.