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Janmesh Chawhan

@janmeshchawhan

Data Analyst at TechYantriki Solutions Pvt. Ltd. who automates reporting workflows and turns datasets into Power BI dashboards.

India

Message

At TechYantriki Solutions Pvt. Ltd., I analyze and transform business data for recurring reporting and operational analysis. I use Python, SQL, Alteryx, Excel, and Power BI to prepare data and support business decisions.

I build reusable workflows to combine, cleanse, transform, and validate data from multiple sources. With Python, Pandas, and NumPy, I also process datasets containing 50K+ records and perform exploratory analysis.

At O2 Soft Solutions, I used Python, Pandas, and SQL to prepare analytical datasets, automate recurring reporting, and identify patterns in business data. I supported reports and dashboards by preparing clean, validated data for visualization.

My projects include a supply-chain analytics workflow and an automated business reporting workflow, using Alteryx, SQL, Python, and Power BI. I hold the Microsoft Certified: Power BI Data Analyst Associate certification.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst / Analytics Professional

Current

TechYantriki Solutions Pvt. Ltd.

Nov 2023 - Present (2 years 10 months)

Analyze and transform business data using Python, SQL, Alteryx, Excel, and Power BI to support recurring reporting, operational analysis, and business decision-making. Build and maintain workflows to ingest, cleanse, join, filter, transform, and validate data from multiple sources.

Python SQL Alteryx Excel Power BI data transformation Data Validation Data Quality ETL Workflow Automation Power Query DAX Dashboard Development Agile Stakeholder Management Documentation Prompt Engineering

Data Analyst / Business Analytics Professional

O2 Soft Solutions

Apr 2021 - Sep 2023 (2 years 5 months)

Worked with Python, SQL, Excel, and business reporting tools to analyze datasets, automate reporting activities, and generate actionable insights for business stakeholders. Used Python and Pandas for data extraction, cleansing, transformation, exploratory data analysis, validation, and preparation of analytical datasets.