Hi, I'm Mohit Pammu, MBA

I'm a  

Welcome to my portfolio website. Here you can find my projects and learn more about my skills.

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About Me

I'm a Data Scientist with over 3 years of cross-functional experience bridging analytics, business operations, and leadership. My technical expertise spans Python (NumPy, Pandas, Scikit-learn, TensorFlow), R, SQL, and Power BI, with a focus on developing machine learning models and extracting actionable insights from complex datasets.

My journey in data science is backed by solid business experience, including founding and managing a culinary business where I applied data-driven strategies to optimize operations and increase profit margins. This unique combination of analytical skills and business acumen allows me to translate technical findings into tangible business value.

I'm passionate about solving real-world problems through data science, particularly in areas of:

  • Developing and optimizing machine learning models
  • Creating insightful visualizations and dashboards
  • Transforming raw data into strategic business recommendations

Having recently completed MIT Professional Education's Applied Data Science program, I bring both technical precision and business context to every project. I thrive in collaborative environments where data-driven solutions can make a meaningful impact.

Let's connect and explore how we can leverage data science to solve interesting challenges!

Email: mopammu@gmail.com
Location: Laurel, MD
Availability: Available for hire
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Credentials

Professional qualifications that validate my expertise

MIT PE ADSP Certificate

Applied Data Science Program

Issued by MIT Professional Education

June 2025

Google Data Analytics Certificate

Google Data Analytics Professional Certificate

Issued by Coursera

September 2024

Power BI Certificate

Microsoft Certified: Power BI Data Analyst Associate Certificate

Issued by Microsost

April 2024

Edureka Power BI Certificate

Business Analyst using Power BI Certificate

Issued by Edureka

January 2024

My Skills

My Projects

Digit Recognition

Digit Recognition

Achieved ~90% accuracy with 38.6% parameter reduction in SVHN digit recognition through systematic CNN optimization, AutoML hyperparameter tuning, and production-ready architecture design using TensorFlow/Keras.

Deep Learning Computer Vision TensorFlow Keras ANN CNN Python
Facial Emotion Detection

Facial Emotion Detection

Built facial emotion detection CNN achieving ~82% accuracy on 4-class classification. Outperformed VGG16, ResNet101, and EfficientNetV2 transfer learning models through grayscale optimization and systematic architecture design for production deployment.

Deep Learning Computer Vision TensorFlow Keras CNN Python EDA
FoodHub Analysis

FoodHub Analysis

Conducted comprehensive data analysis on FoodHub's order dataset using Python (pandas, matplotlib, seaborn), examining 1,898 orders to identify key trends in restaurant popularity, cuisine preferences, delivery times, and customer ratings, ultimately providing strategic recommendations to improve revenue and customer experience.

EDA Pandas Matplotlib Seaborn Python
Cyclistic Analysis

Cyclistic Analysis

Analyzed ride patterns of 4.3 million Cyclistic bike-share trips using R, tidyverse, and data visualization techniques to identify conversion opportunities for casual riders to annual memberships, delivering actionable marketing recommendations.

EDA tidyverse R
HR Data Analysis

HR Data Analysis

A comprehensive Power BI HR dashboard that analyzes 1,200+ employee records, identifies key attrition factors reducing turnover by 15%, visualizes performance metrics across 6 departments, and highlights $320K in potential savings through targeted retention strategies.

Power BI Dashboard Attrition Analysis KPIs
Netflix Content Analysis

Netflix Content Analysis

A Power BI visualization analyzing Netflix's content library of 8,000+ titles, revealing 65% movie vs. 35% TV show distribution, identifying a 43% growth in original content since 2018, and mapping genre preferences across 190 countries.

Power BI Dashboard Content Analysis Streaming Data
Sales Data Analysis

Sales Data Analysis

A comprehensive Power BI sales dashboard that visualizes $4.2M in revenue across 5 product categories, identifies top-performing regions with 28% YoY growth, and segments customers by profitability to optimize targeting strategies.

Power BI Dashboard Retail Analysis Customer Segmentation

Contact Me

Email

mopammu@gmail.com

Location

Laurel, MD

LinkedIn

linkedin.com/in/mohitpammu

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