Rahul deshwal

Data Analyst

New Delhi, Delhi, India0 mo experience

Key Highlights

Skilled in advanced Excel functions and data automation
Proficient in building interactive dashboards with Power BI
Experienced in transforming data into actionable business insights

Stackforce AI infers this person is a Data Analyst with expertise in SaaS analytics and business intelligence.

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Skills

Core Skills

Data AnalysisExcelPower Bi

Other Skills

EnglishPythonPandas (Software)Unicommerce Order Management SystemAnalyticsMySQLNumPyMatplotlibSeabornMicrosoft Power BITableauDatabasesMicrosoft Excel

About

Detail-oriented Data Analyst with 6 months of experience as an MIS Executive at Unicommerce. Skilled in data analysis, reporting, and dashboard creation using Excel, SQL, Python, and Power BI. I specialize in transforming raw data into actionable insights that support business decisions. Experienced in advanced Excel functions, data cleaning, and automation to improve efficiency and accuracy. I am passionate about solving business problems using data and continuously learning new tools and techniques in analytics. Key Skills: Excel, SQL, Python, Power BI, Data Analysis, Dashboarding, Reporting

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Unicommerce

Mis executive

Jan 2026 – Present · 4 mos · Gurugram m3m urbana · Hybrid

MIS Executive
Unicommerce | 6 months
Created daily, weekly, and monthly MIS reports using Advanced Excel
Used VLOOKUP, XLOOKUP, and INDEX-MATCH for data analysis
Built Power BI dashboards to track KPIs
Cleaned and validated large datasets
Automated repetitive tasks to improve efficiency

Data AnalysisEnglishExcel

Netflix

Data analysis

Oct 2025 – Feb 2026 · 4 mos · South extension · Hybrid

Built an interactive Power BI dashboard to analyze customer churn trends and identify key factors influencing customer retention. Performed data cleaning and transformation to ensure accuracy and consistency. Used visualizations such as cohort analysis, segmentation, and KPI tracking to highlight churn patterns and customer behavior. Provided actionable insights to help improve customer retention strategies and business decision-making.
👉 Tools Used: Python, Pandas, NumPy,
Power BI,Excel

PythonPandas (Software)Power BIExcelData Analysis