Data Analyst with 4+ years in Python, SQL & Power BI
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Assessing your cultural and operational fit
I enjoy working with data, particularly identifying patterns and interpreting statistical information. Over the past year I have built real projects using Python, SQL, Pandas and Matplotlib fetching live data from APIs, designing databases from scratch and computing statistical measures like mean, variance, standard deviation and trend analysis. I hold a certification in Remote Sensing and GIS and have working knowledge of Power BI, MS Excel and AI prompt engineering for data workflows. Outside of data work I bring 4+ years of technical operations experience and have worked in an MNC environment through Amazon VCS which enhanced my ability to work under pressure and consistently meet deadlines.
Shri Mathurdas Mohota Science College, Nagpur (RTMNU University)
B.Sc · Physics, Chemistry, Geology
August 1, 2020 – June 30, 2024
Ashok Junior College, Umred, Nagpur
HSC · Science
June 1, 2017 – May 31, 2018
Amazon VCS
Customer Service Associate
April 1, 2026 – May 31, 2026
India
Self Employed
Electronics Sales & Repair Technician
January 1, 2022 – January 1, 2026
India
SQL Employee Database
June 18, 2026 – Present
Designed relational database with 2 normalized tables covering 50 employees across 5 departments; Wrote 4 complex SQL queries using JOINs, GROUP BY, aggregate functions and subqueries; Delivered complete HR insight report covering salary analysis, headcount and department-wise breakdown with 2 visualizations.
Daily Temperature Statistics : Real World Data Collection
June 18, 2026 – Present
Fetched 30 days of live Nagpur temperature data via OpenMeteo API no manual data entry; Computed 6 statistical measures mean, max, min, range, variance, standard deviation; Performed weekly trend breakdown across 4 weeks and dual-city comparison between Nagpur and Mumbai; Produced 4 data visualizations automatically identifying hottest and coldest days.
Mineral Exploration Field Research Vidarbha Region
June 18, 2026 – Present
Surveyed and documented assigned geological site recording systematic observations, collecting and labelling rock samples with location data; Identified 6+ rock and mineral types including Columnar Basalt, Banded Hematite Iron Ore, Granular Porphyritic Marble and Quartz-infused Iron formations; Collaborated with 10-member team across all 11 Vidarbha regions including Wairagad, Khobragadi River basin and Gadchiroli iron ore belt; Co-produced complete research report covering mineral classification, distribution mapping and iron ore potential assessment.
Advanced Research Methodology
Teaching Learning Centre, Ramanujan College, University of Delhi (in collaboration with SMMS College, Nagpur)
October 1, 2023 – Present
IIRS ISRO Workshop: SAR Applications for Flood Hazard Mapping
Indian Institute of Remote Sensing, ISRO Dehradun
July 1, 2021 – Present
Remote Sensing & GIS
Shri Mathurdas Mohota Science College, Nagpur
January 1, 2020 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from SQL database design to real-world data collection and geological field research, indicates a broad interest in data-driven problem-solving. Their academic background in Physics, Chemistry, and Geology, combined with self-taught data skills, shows a proactive and interdisciplinary approach. The experience in a customer-facing role at Amazon VCS and self-employment suggests independence, responsibility, and a results-oriented mindset. While the core technical skills align with a Data Analyst role, the non-traditional background might require some cultural adaptation to a purely corporate data team environment, but their adaptability is a positive indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and adaptability, which are crucial for a Data Analyst role. Their experience in customer service and as an electronics technician suggests problem-solving skills, customer handling, and the ability to manage multiple tasks under pressure. Team collaboration is also noted in their academic project. These soft skills indicate a good operational fit for roles requiring meticulous data handling and clear communication of insights.