Chintamani Modak
Data Scientist | Pricing & Analytics Consultant
Hello! I'm Chintamani Modak
As a dedicated Data Scientist & AI Consultant, I excel in transforming complex data into actionable insights, fueling business transformation. My deep fascination with data and analytics drives me to convert large datasets into clear, impactful narratives. I'm well-versed in a range of technologies including Machine Learning, Deep Learning, Computer Vision, and both supervised and unsupervised algorithms.
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Utilizing cloud platforms like AWS and Google Cloud, I create scalable, efficient solutions customized for each business's needs. My skills in Python, SQL, Power BI, and Tableau enable me to produce visually engaging reports that facilitate informed decision-making.
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With a proven track record in delivering results through data-driven strategies, I am dedicated to unlocking your business's potential and guiding it to new successes. Together, let's leverage data to turn your business challenges into growth opportunities
EXPERIENCE
2020-Present
Data Science I Machine Learning | Pricing & Analytics
Freelancing / Consulting
Data Scientist / AI Consultant
2016-Present
Senior Manager, Pricing & Analytics
PC Peripherals Ecosystem
Dell Technologies
Price Prediction using AI/ML | Price Modeling ! Price Optimization using AI/ML | Price Strategy | Omnichannel Pricing | Promo Pricing | Elasticity Analysis | Pricing framework | Competition pricing deep dive | B2B, B2C end to end pricing & analytics | Business opportunities sizing for accessories & spares business
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2011-2016
Dell Technologies
Senior Manager, Pricing , Market Analysis
Displays
Market Analysis | Cost Analysis | Price Strategy | Value to Price | Business opportunities sizing | Omnichannel pricing | Price optimization | Pricing Tools development | Margin maximization | Strategy design to win market share with balance on profitability
1995-2011
Dell Technologies | Hewlett Packard
Engineering/Program Manager
Printing & Imaging : Manufacturing, Product Engineering, Productivity enhancements, Technology transfer , Sustaining engineering support, ODM Partners management
EDUCATION
2021
Masters Program
Simplilearn
Artificial Intelligence Engineer
1993-1995
Masters Degree
Indian Institute of Technology(Bombay) India
Mechanical Engineering
Specialization in Design Engineering
1990-1993
Bachelors Degree
University of Bombay
Production Engineering
University of Bombay, India
1988-1990
Diploma
Diploma in Engineering
Mechanical Engineering
Board of Technical Education, Bombay
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CERTIFICATES
SKILLS
Machine Learning
Deep learning
Data Preprocessing, Data Visualization
Tableau
Python - Numpy, Pandas, Scikit-Learn, Tensorflow, seaborn, matplotlib etc
Computer Vision, NLP
SQL
Cloud (AWS, Google), Big Data
PROJECTS
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ML model predicting heart disease
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Type: Classification
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Algorithms: KNN, Logistic Regression, Random Forest
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Accuracy: 85%, Precision: 82%
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Recall: 92% , F1 score: 87%
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End product: A model which can predict whether or not a person has heart disease based on a number of different parameters at a considerable accuracy
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ML model predicting Bulldozers price
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Type: Regression
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Algorithms: Random Forest Regressor
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MAE 2538 , RMSLE: 0.13
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R2 : 0.96
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End product: A model which can predict the sale price of a bulldozer given different characteristics about it.
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ML model predicting dog breeds
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Type: Classification
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Algorithms: CNN
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Max probability value: 0.50
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the index of where the max value in predictions[0] occurs: 26
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the predicted label: cairn
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End product: A model which can predict different breeds f dogs using Deep learning
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ML Data Analysis NYC Taxi trip prediction
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Type: EDA
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Data Preprocessing , Feature Engg
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Univariate & Bivariate Analysis
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End product: Analysis to perform data analysis, Detect Anomalies, Identify Patterns, Testing hypothesis & communicate findings
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ML model predicting NYC Taxi trip duration
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Type: Regression
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Algorithms: Linear regression, XGBoost, Random Forest, Gradient Boosting, Adaboost
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MSE 0.22 , RMSE: 0.47
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R2 : 0.91
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End product: A model which can predict predict how long a driver will have his taxi occupied.
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ML model predicting ratings for each user article combination
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Type: Recommendation
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Algorithms: Collaborative Filtering
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RMSE score baseline: 0.96
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RMSE with Simple user mean by article: 1.10
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End product: A model which can accurately predict ratings for each user article combination
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ML model to identify hate speech (racist or sexist tweets) in Twitter.
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Type: NLP
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Algorithms: Logistic Regression
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Recall: 40%, F1 Score: 55%
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End product: A model which can identify the tweets with hate speech and removing them from the platform.
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ML model to create a sentiment analysis engine regarding specified drug
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Type: NLP
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Algorithms: XGBoost
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Accuracy: 95.8%
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End product: A model which can create a sentiment analysis engine that can track the sentiment regarding a specified drug from 3 categories
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ML model optimizing the energy generation process.
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Type: Time Series
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Algorithms: Simple moving average, Exp weighted moving avg, Exponential smoothing
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Data patterns detection & comparisons
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End product: A model which can predict on future data 36 months periods ahead
CONTACT
Feel free to contact me for any question. For open source projects, please open an issue or pull request on Github. If you want to follow my work, reach me on Linkedin. Otherwise, send me an email at umesh_meenal@hotmail.com
Email: