ABHISHEK KUMAR

Data Analyst

Bengaluru, Karnataka 2+ yrs exp 85 · Excellent

About

Data Analyst with 2+ years of experience analyzing CRM, telephony, and product data with SQL and Python, and delivering Power BI and Metabase dashboards and KPI reports that support Product, Sales, and leadership teams. Experienced in exploratory and funnel analysis, and in automating reporting that cut data turnaround from hours to minutes. Microsoft Certified Power BI Data Analyst Associate.

Skills & Expertise (21)

SQL Intermediate

7.7/10

Years Exp

Python Intermediate

7.5/10

Years Exp

ETL & Data Pipelines Intermediate

7.5/10

Years Exp

Data Visualization Intermediate

7.5/10

Years Exp

Dashboarding Intermediate

7.5/10

Years Exp

Exploratory data analysis Intermediate

7.5/10

Years Exp

Power BI Intermediate

7.5/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

Metabase Intermediate

7.0/10

Years Exp

Microsoft Excel Intermediate

7.0/10

Years Exp

Google Sheets Intermediate

7.0/10

Years Exp

Seaborn Intermediate

7.0/10

Years Exp

KPI Reporting Intermediate

7.0/10

Years Exp

Matplotlib Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Data Cleaning Intermediate

7.0/10

Years Exp

Operational Analytics Intermediate

7.0/10

Years Exp

API Integration Intermediate

7.0/10

Years Exp

process automation Intermediate

7.0/10

Years Exp

HubSpot Intermediate

6.5/10

Years Exp

CRM Data Integration Intermediate

6.5/10

Years Exp

Work Experience

Data Analyst

Prosperr.io

Jun 2024 - Present

Cut investor and CXO data retrieval time from 3–4 hours to 10–15 minutes by building a real-time ETL and automation pipeline (Python, SQL) that consolidates Metabase data into a single Google Sheet. Mapped user conversion paths with SQL-based models, supporting B2B-to-B2C lead migration for the Super Saver tax planning product. Built interactive Power BI reports that turn transactional data into organization-wide operational KPIs for executive stakeholders. Analyzed operational data with Python (Pandas, Matplotlib, Seaborn) to identify high-value bottlenecks for Product and Sales teams. Built Metabase dashboards (using Python) that track RM-level calling patterns, availability, and bill-claiming behavior across assigned companies on the FBP app. Integrated HubSpot CRM, Google Sheets, and Callyzer telephony data with Python for near-instant tracking of customer interaction touchpoints. Scaled a recurring data-aggregation workflow (SQL, Excel) from 3–4 to 22 companies, saving 3–4 hours of manual effort every day.