Rigved tupsakhare

Data Analyst

mumbai India Full-time 1+ yrs exp 73 · Very Good

About

No bio added yet

Skills & Expertise (37)

Python Intermediate

7.8/10

1.7

Years Exp

SQL Intermediate

7.6/10

1.7

Years Exp

Power BI Intermediate

7.5/10

1.7

Years Exp

Excel Intermediate

7.4/10

1.7

Years Exp

Data Cleaning Intermediate

7.2/10

1.7

Years Exp

Data Visualizations Intermediate

7.0/10

1.7

Years Exp

Statistical Analysis Intermediate

7.0/10

1.7

Years Exp

Pandas Intermediate

7.0/10

1.7

Years Exp

AWS Intermediate

6.8/10

1.7

Years Exp

NumPy Intermediate

6.8/10

1.7

Years Exp

Excel Pivot Tables Intermediate

6.5/10

1.7

Years Exp

Matplotlib Intermediate

6.5/10

1.7

Years Exp

Random Forest Intermediate

6.0/10

1.7

Years Exp

Decision Tree Intermediate

6.0/10

1.7

Years Exp

Logistic Regression Intermediate

6.0/10

1.7

Years Exp

BeautifulSoup Intermediate

5.5/10

1.7

Years Exp

Requests Intermediate

5.5/10

1.7

Years Exp

Regex Intermediate

5.5/10

1.7

Years Exp

DML Intermediate

5.0/10

1.7

Years Exp

Data Validation Intermediate

5.0/10

1.7

Years Exp

Conditional Formatting Intermediate

5.0/10

1.7

Years Exp

HLOOKUP Intermediate

5.0/10

1.7

Years Exp

VLOOKUP Intermediate

5.0/10

1.7

Years Exp

XLOOKUP Intermediate

5.0/10

1.7

Years Exp

ETL Intermediate

5.0/10

1.7

Years Exp

DAX Intermediate

5.0/10

1.7

Years Exp

Subqueries Intermediate

5.0/10

1.7

Years Exp

Joins Intermediate

5.0/10

1.7

Years Exp

DQL Intermediate

5.0/10

1.7

Years Exp

DDL Intermediate

5.0/10

1.7

Years Exp

CRUD Intermediate

5.0/10

1.7

Years Exp

MySql Seaborn OpenpyXL EDA KPI Dashboards SVM

Work Experience

Data Analyst

Techknowgreen Solutions Ltd

Jul 2024 - Jan 2026

Performed data cleaning on large air-quality and health datasets using Excel Pivot Tables, 3-Sigma (3SD) outlier removal, and 95th/98th percentile thresholds for the SAFE IAQ platform. Automated KPI reporting pipelines by querying SQL databases to extract health data and streamlining CSV exports, reducing manual reporting time across teams. Designed and built Power BI KPI dashboards with data visualizations tracking 8 environmental parameters (PM2.5, CO₂, TVOC, temperature, humidity) for real-time decision making. Executed advanced statistical analysis using Spearman correlation and Linear Mixed Effects (LMEM), contributing findings to a published IAQ research paper. Engineered a scalable Python data pipeline using Pandas and NumPy, processing scoring metrics for 28,000+ urban and rural regions (MV5 project). Deployed server monitoring system (Yuka Yantra) on AWS (EC2/S3) for automated fault detection and activity tracking; generated daily data visualizations using Matplotlib for operational reporting. Built executive KPI dashboards for regional offices tracking project allocations, operational pipelines, and financial performance for stakeholder reporting.