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@sangramkeshari2002

Remote worker with 3+ years of experience - Last seen ago

๐Ÿ‘‹ Hi, I'm Sangram Keshari Patro โ€” Freelance Data Scientist | Business Analyst
I'm a results-driven data science and analytics professional with a strong foundation in computational physics and a passion for transforming complex data into actionable business insights. With an M.Sc. in Physics from UM-DAE Centre for Excellence in Basic Sciences and a PGP in Data Science & Business Analytics from the University of Texas at Austin & Great Lakes (expected Aug 2025), I bring both analytical depth and hands-on business experience.

๐Ÿง  What I Do Best:
Machine Learning & Predictive Modeling (Classification, Regression, Clustering)

Data Analytics & Visualization (Power BI, Tableau, Seaborn, Plotly)

Statistical Analysis & Data Cleaning (SQL, Excel, KNIME, Python)

Business Insights & Storytelling โ€” from EDA to stakeholder-ready dashboards

๐Ÿš€ Highlight Projects Across Domains:
Customer Churn Prediction (DTH Provider): Built ML model to flag high-risk accounts, enabling cost-effective retention campaigns.

Hotel Booking Cancellation (INN Hotels): Logistic regression and pruned tree (F1: 0.80) led to 22% projected reduction in cancellations.

OTT Forecasting (ShowTime): Linear regression (Adj. Rยฒ: 77.4%) uncovered platform traffic and sports events as key predictors.

Time Series Forecasting (ABC Estate Wines): ARIMA + triple exponential smoothing (RMSE: $9,334) improved seasonal inventory targeting.

Visa Approval Optimization (EasyVisa): XGBoost with SHAP (F1: 0.825) showed salary boosts directly impact approval odds.

Customer Segmentation (AllLife Bank): K-Means + PCA revealed 2.5x credit potential across clusters.

Sales Drop Root Cause (New Wheels): Advanced SQL + data wrangling exposed 35.8% dip tied to a 47% rise in negative reviews.

๐Ÿงช Research & Technical Edge:
Simulated cranked shell-models in C++ at TIFR, applied chi-square fitting and nuclear detector efficiency analysis with Python, Radware, and Matplotlib.

๐Ÿ’ผ Tools & Tech Stack:
Languages: Python, SQL, C++, MATLAB, Shell scripting, LaTeX
Libraries: Scikit-learn, Statsmodels, Pandas, Numpy, Plotly, Seaborn, SHAP
Tools: Tableau, Power BI, KNIME, Excel, Radware, Origin, Arduino

๐Ÿ… Awards & Recognition:
๐Ÿฅ‡ Top 3 โ€“ Great Learning Hackathon

๐Ÿฅˆ Top 4/1000 โ€“ Analytics Vidhya AI Battlefield

๐ŸŽ“ DAE DISHA Scholar โ€“ Top 50 of 40K

๐ŸŒŸ AIR 104 โ€“ NSTSE

๐Ÿค Letโ€™s Collaborate:
I'm passionate about working with teams and businesses that value data-backed decisions. Whether you're an early-stage startup or an enterprise, Iโ€™m here to build models that matter and turn numbers into impact.

๐Ÿ“ฌ Let's connect and bring your data to life.


Skilled in python c plus plus matlab latex sql fortran microsoft office excel shellscripting radware arduino origin markdown scikit learn statsmodels matplotlib pandas numpy tableau seaborn plotly shap knime power bi machine learning data science data analysis data visualization predictive modeling time series analysis classification regression clustering statistics data wrangling data cleaning shap values model interpretation exploratory data analysis jupyter business analytics communication stakeholder management problem solving remote 
Fluent in englishhindiodia
Preferred timezone +1,+2,+3,+4,+5,+5.5,+6,+7,+8,+9,+10
Preferred annual pay (min) $25,000/year
Preferred hourly pay (min) $10/hour
Last seen 9 months ago
Signed up 1 year ago
Badges ๐Ÿ‘จโ€๐Ÿ’ป Remote worker

๐ŸŽจ Maker

๐ŸŽ– Early adopter

Employment

2023 - 2024: Graduate Research Intern @ Tata Institute of Fundamental Research , Mumbai

Side Projects

2024 - 2025: Forecasting Wine Sales - ABC Estate Wines

2024 - 2025: Analyzing Sales Trends and Customer Feedback - New Wheels

2024 - 2025: Customer Segmentation Using Unsupervised Learning - AllLife Bank

2024 - 2025: Optimization of the visa approval process - EasyVisa

2024 - 2025: Booking Cancellation Prediction - INN Hotels

2024 - 2025: OTT Data Analysis - ShowTime

Education

2024 - 2025: PGP in Data Science and Business Analytics @ The university of Texas at Austin

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