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Abhinav Ghosh

Product Manager

Hyderabad, Telangana, India1 yr 2 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in transforming raw data into actionable insights.
  • Proficient in building dynamic dashboards for performance analysis.
  • Strong background in data cleaning and preprocessing.
Stackforce AI infers this person is a Data Analyst with expertise in Business Intelligence and Data Visualization.

Contact

Skills

Core Skills

PythonSqlArtificial IntelligencePower BiData AnalysisData Visualization

Other Skills

Advanced SQL TechniquesAnalytical Insight GenerationArtificial Intelligence and Chatbot Development with Gemini API and prompt engineeringAttention to DetailAutomotive MaintenanceBenchmarking and Competitive AnalysisBusiness Intelligence (BI)Business Strategy OptimizationBusiness Strategy and Decision-MakingCommunicationCommunication and CollaborationCritical Thinking & Problem-SolvingCustomer Segmentation and Trend AnalysisDAXDAX (Data Analysis Expressions)

About

Hi, I'm Abhinav Ghosh, a results-driven Business Intelligence Analyst with expertise in SQL, Power BI (DAX, Power Query), Python, and Excel. With a background in mechanical engineering, I bring a structured, problem-solving mindset to the world of data analytics—turning raw data into actionable business insights. 🚀 What I Bring to the Table ✅ SQL & ETL – Querying, transforming, and managing large datasets for analysis and decision-making. ✅ Power BI & DAX – Building dynamic dashboards for KPI tracking and business performance analysis. ✅ Excel for Analytics – Leveraging Pivot Tables and statistical analysis for data-driven decision-making. ✅ Python for Data Analysis – Utilizing Pandas, NumPy, and Matplotlib for data manipulation and visualization. ✅ Data Storytelling & BI Reporting – Communicating insights to drive business impact. 🔍 Core Expertise 📊 Data Cleaning & Preprocessing – Ensuring structured, high-quality data for accurate analysis. 📉 KPI Tracking & Performance Metrics – Measuring and optimizing business performance. 📢 Data Storytelling – Communicating insights that influence strategic decisions. 🤝 Let’s Connect! If you're looking for a data-driven professional who can transform complex datasets into strategic business insights, let's connect! I’m open to opportunities in data analytics and business intelligence. 📩 DM me or reach out via email – Let’s talk data! 🚀

Experience

1 yr 2 mos
Total Experience
1 yr 2 mos
Average Tenure
1 yr 2 mos
Current Experience

Health catalyst

2 roles

Corporate Analytics Engineer, Associate

Sep 2025Present · 9 mos · Hyderabad, Telangana, India

Data Analyst Intern

Mar 2025Aug 2025 · 5 mos · Hyderabad, Telangana, India

  • Structured scattered datasets by developing Python ETL pipelines and automating preprocessing, enabling ready-to-use data for analysis.
  • Prepared high-quality datasets by engineering Python scripts for JSON flattening and data cleaning, improving data reliability.
  • Facilitated data exploration by designing and building interactive Power BI dashboards and reports for efficient visualization.
  • Streamlined external data integration by implementing Python API calls, reducing manual data updates.
  • Enhanced reporting efficiency by optimizing SQL queries for filtering, aggregation, and structured data analysis.
  • Delivered a functional Health & Wellness AI chatbot by creating an end-to-end solution with Python, Node.js, Tailwind, and Gemini API using prompt engineering.
Python for ETL preprocessing API integration and chatbot developmentSQL for querying reporting and optimizationPower BI for dashboards and reportsData Engineering for ETL and data preparationArtificial Intelligence and Chatbot Development with Gemini API and prompt engineeringPython+1

Codebasics

Data Analyst

Dec 2024Jan 2025 · 1 mo · Guwahati, Assam, India · Remote

  • ● Engineered an interactive Power BI dashboard to analyze the impact of 5G on key business KPIs, including revenue, ARPU (Average Revenue Per User), active users, and market share at the plan level.
  • ● Pinpointed critical pitfalls through in-depth analysis, providing actionable insights to address declining market share and improve strategic decision-making.
  • ● Enabled the telecom provider to target a 30% market share recovery within 3 months, leveraging insights to optimize their 5G rollout strategy.
  • ● Developed a comprehensive Power BI dashboard to analyze key metrics, including customer growth, revenue trends, policy segmentation, and sales channel performance, addressing the lack of integrated data monitoring at Shield Insurance.
  • ● Uncovered critical insights through in-depth analysis across five cities, identifying a 20% decline in offline sales and highlighting the 31-40 age group as the primary driver of revenue growth, enabling targeted strategic recommendations.
  • ● Delivered actionable strategies that improved decision-making, facilitated a roadmap for a 15% revenue uplift in 2024, and optimized sales channels and customer segmentation for sustainable growth.
Power BI ExpertiseData-Driven InsightsBusiness Strategy OptimizationProblem Identification and ResolutionStakeholder CollaborationPower BI+1

Dimapur diesels tata motors

Commercial Vehicle Repairs

Jun 2022Aug 2022 · 2 mos · Dimapur, Nagaland, India · On-site

  • ● Streamlined repair allocation using advanced Excel techniques like pivot tables and VLOOKUP, improving data accuracy and accelerating decision-making.
  • ● Enhanced operational efficiency by 30% and cut repair completion timelines by 15% through streamlined processes and workflow enhancements.
  • ● Diagnosed bottlenecks and executed data-driven solutions, resulting in a 20% increase in productivity and enhanced customer satisfaction, leading to improved service delivery and reduced wait times.
Technical SupportAutomotive MaintenanceTeam CollaborationProblem-SolvingMechanical Knowledge

Education

Aravali Institute of Technical Studies,Udaipur

Bachelor of Technology - BTech — Mechanical Engineering

Jul 2019Jul 2023

Pranab Vidyapith higher Secondary School

High School — Science

Nov 2017Jan 2019

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