Harsh Meena

Data Analyst | Python, SQL, Power BI | Data Cleaning • Data Visualization • Dashboard Development | Turning Data into Business Insights

Role
Data Analyst at Solutions
Location
Indore, MP, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Harsh Meena

I analyze data to answer one question:**what decision should a business take next?**Aspiring Data Analyst with hands-on experience in **Python, SQL, Power BI, and Excel**, focused on turning messy datasets into clear, decision-ready insights. I enjoy digging into data, finding patterns, and presenting results through dashboards and simple storytelling.**What I Work On**• Data cleaning and analysis using Python & SQL• Building interactive Power BI dashboards for business insights• Identifying trends, anomalies, and growth opportunities in large datasets **Selected Projects**• **Telecom Churn Analysis** – Identified key churn drivers and proposed retention strategies projected to reduce churn by **8–10%**• **Vendor Performance Dashboard** – Built an ETL workflow and Power BI dashboard that reduced manual reporting effort by **~90%** and improved **OTIF by 15%**• **Global Superstore Analysis** – Exploring sales, profitability, and regional performance to uncover actionable business insights **How I Work**I focus on **clarity and business value** — not just charts. My goal is to turn complex data into insights that teams can quickly understand and act on.**Currently**Expanding my portfolio with real-world datasets and seeking **Junior / Entry-Level Data Analyst roles** where I can contribute to data-driven decision making.If you\'re working with data and love meaningful insights, let\'s connect.

Experience

  1. Data Analyst

    Solutions

    Present

    Developed a Python ETL pipeline while working as a Data Analyst at Solutions Corp to clean, merge, and transform vendor sales and delivery datasets from multiple sources, enhancing data consistency and usability. Calculated key performance metrics such as an on-time delivery rate of 92%, defect rate of 4.5%, and revenue contributions per vendor, providing executives with actionable insights. Created an interactive Power BI dashboard employing DAX measures to enable stakeholders to track vendor KPIs across different regions and product categories. Identified the top 3 vendors responsible for 60% of delivery delays, resulting in performance reviews and the establishment of a targeted 10% goal improvement in on-time deliveries.

Education

  • Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    Bachelor of Technology - BTech, Computer Science

  • Shivaji Rao Kadam Institute Of Technology And Manegement Indore Madhya Pradesh India

    Bachelor of Technology - BTech, Computer Science

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Harsh Meena — Data Analyst at Solutions in Indore, MP, IN | Unifers