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Data Science with 1+ years in Data Analysis, ML & BI Tools
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Associate Data Analyst / Analytics Professional with hands-on experience in SQL, Python, Excel, and BI tools, working on real-world datasets across analytics, reporting, and machine learning projects. Skilled in data cleaning, EDA, KPI monitoring, dashboard creation, and anomaly detection. Experienced in collaborating with cross-functional teams, documenting analysis, and translating business questions into actionable insights in fast-paced environments.
Dr. Babasaheb Ambedkar Marathwada University
Bachelor of Science
June 1, 2022 – July 1, 2025
Innodata Inc.
Data Annotator / Analytics & AI Content Reviewer (Freelance)
November 1, 2025 – Present
India
MentorMind | Uber × upGrad
Data Science Intern
July 1, 2025 – December 1, 2025
India
Commodity Price Analysis
January 1, 2025 – December 1, 2025
Designed and optimized a relational database integrating commodity, region, and price data. Executed complex SQL queries, including joins, aggregations, and window functions to analyze real-world data. Evaluated price variations and regional trends across India (2019–2021) to identify cost sensitive commodities. Produced insights on top commodities, state-wise demand patterns, and price fluctuations to guide strategic decisions. Used SQL queries to answer business-style analytical questions and perform trend comparisons.
View ProjectWeather Analytics Power BI Dashboard
January 1, 2025 – December 1, 2025
Designed an end-to-end Power BI dashboard integrating real-time and forecast weather data using Weather API. Built a star-schema data model (current, hourly, daily facts with location dimension) for scalable analytics. Cleaned, normalized, and transformed raw API data using Power Query (M) to create analytics-ready datasets. Developed DAX measures for temperature trends, AQI categorization, and pollution metrics (PM2.5, PM10, CO, NO2). Created interactive visualizations with dynamic city-level filtering and automated data refresh for near real-time insights.
TripPulse - Ride Delay Prediction & Data Analysis
January 1, 2025 – December 1, 2025
Performed end-to-end data science analysis on 1500+ ride records, including EDA and feature engineering. Engineered time-based and route-level features to capture real-world patterns. Built and trained a Random Forest model achieving 89% accuracy. Interpreted feature importance and visualized key delay drivers. Monitored model performance metrics and validated outputs to detect anomalies and ensure consistency across data splits.
View ProjectSQL (Basic)
HackerRank
May 1, 2025 – Present
Business Analysis Foundations
Microsoft & LinkedIn Learning
April 1, 2025 – Present
Data Analytics
Deloitte (Forage)
March 1, 2025 – Present
Certified in Data Science & Artificial Intelligence (AI/ML)
UpGrad
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying diverse data science techniques, from SQL and BI dashboards to machine learning models. The freelance and internship experiences, though short-term, show an eagerness to gain practical experience. The certifications further indicate a commitment to continuous learning. This aligns with a culture that values initiative and skill development, making for a reasonable cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights experience in collaborating with cross-functional teams, documenting analysis, and translating business questions into actionable insights. The Data Annotator role also emphasizes analytical judgment, adherence to compliance, and providing structured feedback, suggesting a methodical and quality-oriented approach. These indicate a good operational fit for roles requiring detailed analytical work and clear communication.