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Data Analyst Power Bi

Location:
Pune, Maharashtra, India
Salary:
400000
Posted:
September 10, 2025

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Resume:

EXPERIENCE

Meghna Chakraborty

Data Analyst

Data Analyst with over than 1.5 years of experience in data analysis, data cleaning, and data visualization to drive data-informed decisions. Proficient in SQL, Python (Pandas, NumPy), Power BI, and Excel.Skilled in dashboard development, statistical analysis, and automated reporting. Strong knowledge of ETL processes, data wrangling, and business intelligence tools.

+916********* www.linkedin.com/in/meghnachakraborty1 Designed Power BI dashboards to visualize sales KPIs and marketing funnel performance. Automated reporting pipelines using Power Query and SQL, reducing weekly manual effort by 40%. Analyzed lead behavior and campaign ROI to support sales optimization decisions. ************@*****.***

Data Analyst Prepca Eduserv Private Limited - Pune Completed a 29-hour hands-on bootcamp covering Python, machine learning, data visualization, and data analysis workflows using real- world projects and business case studies.

SUMMARY

Process Associate Tata Consultancy Services - Kolkata OCT 2022 - JUL 2023

Managed CRM data workflows to maintain integrity across customer lifecycle stages. Created SLA compliance dashboards using Excel, improving internal tracking. Conducted root cause analysis on escalated tickets, reducing resolution time by 12%. EDUCATION

Bachelor of Science (Honours) in Data Science Techno India University, Kolkata AUG 2019 – AUG 2022

C.G.P.A. – 8.58 / 10

PROJECTS

SLA Breach Prediction Model Python, Scikit-learn, Pandas Built a logistic regression model to predict whether support tickets would breach SLAs. Enabled proactive routing, reducing SLA breaches by 18%.

Sales Funnel Drop-Off Analysis Power BI, SQL

Analyzed lead funnel stages and conducted A/B tests on landing pages to optimize conversions. Improved qualified lead flow by 15% using data-driven insights presented via interactive dashboards. Ticket Volume Forecasting Python, Excel

Forecasted weekly ticket volumes using regression models on historical data. Informed team planning and reduced backlog risk. CERTIFICATIONS

The Data Science Course 2020: Complete Data Science Bootcamp Udemy (03/2020) Become a Probability & Statistics Master Udemy (09/2020) Completed an 11.5-hour course focused on probability theory, statistical techniques, hypothesis testing, and regression fundamentals used in real-world data science.

JUL 2024 - PRESENT

SKILLS

Languages : Python, SQL.

Tools & Platforms : Power BI, Excel, Tableau, Jupyter Notebook. Databases : MySQL, PostgreSQL

Techniques : Regression, Classification, Clustering, A/B Testing, EDA, Dashboarding Soft Skills : Communication, Collaboration, Problem Solving, Data Storytelling



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