Shubham G. Kanshetti

Tel: +91-976*******

Email: aded9x@r.postjobfree.com LinkedIn: www.linkedin.com/in/sshubham913 Objective

Seeking a Data Science role to enhance the hands-on experience in Data Science. It is my goal to make a difference to the organization I would be part of thereby contributing to their growth and success. Education

• B.E in Computer D.Y.Patil COE, Pune June 2018

• Post Graduate Program in Data Science International School of Engineering (INSOFE) November 2019 Certification

• Post Graduate Program in Data Science International School of Engineering (INSOFE) Certified by the Language Technologies Institute (LTI) in the School of Computer Science at Carnegie Mellon University, USA

• Predictive Business Analytics Edupristine

• Machine Learning A-Z: Hands-On Python & R In Data Science Udemy certification

• Introduction to Oracle 11g Seed Info-tech

Work Experience

Data Scientist with Blocklogy, Navi Mumbai February 2020 - Present Major project-

1. Recommendation engine for Platforms

• Build Collaborative based recommendation model for App and Block chain platforms.

• Analyzing data on platforms, helping to improve product efficiency through AI.

• Created Contents in Machine learning, Statistics, Artificial intelligence for e-learning platform called Era swap academy.

• Worked on Database and analyzing the data.

Intern Data Scientist with Singularity AI Labs, Gurugram December 2019 - January 2020 Major project-

1. Revenue optimization for Hospitality Domain

• Building data quality analysis and Property Performance report scripts.

• Anomaly analysis scripts for competitors property data.

• Detection wrongly mapped properties from different channel wise detection.

• Worked on Database and analyzing the data by Occupancies and Public Prices.

• Used Tableau for analyzing price movement dashboard. Intern Data Scientist with Climate Connect Technologies, Pune February 2019 - May 2019 Major projects-

1. Predictive Model for Grid Load Forecasting

• Predicted short term unrestricted energy demand on a day ahead and an intra-day basis for a Major Utility in a Tier 1 city.

• Liaison with multiple stakeholders on Domain data to important features that are important for modeling.

• Differentiate the key characteristic and relation between weather and load, focused on predicting from past load trends along with numerous other parameters.

2. Predictive Model for Solar Power generation Forecasting

• Predict day ahead solar power generation forecasts for several solar farms for a major energy firm.

• Overcame major challenges like sub-par solar forecast accuracies.

• Used an ensemble model that finally achieved the best accuracy, exceeding client expectations. Achievement

• Applauded and appreciated for the deployment of the Forecasting model of Solar Power Generation. Hackathon

1) Predicting the alpha signal using microblogging data (Project Hackathon Defense, INSOFE)–

• Performed data visualization & EDA on the data gathered.

• Applied feature engineering, removal of unwanted columns, cleaning text data.

• Converting Emoticons, Contractions, and hashtags into text as feature engineering.

• Build machine learning model to predict alpha from stock factors and sentiment analysis model on the parsed data.

• Used the sentiment scores as a factor, along with stock factors to predict alpha.

• Applied Logistic, Random forest, Decision trees, XgbBoost, MLP, Embedding, and TF-IDF.

• Accuracy metrics was f1 macro score.

• Python language was chosen as the programming language. 2) Predicted the Flat Resale Prices in Singapore (Mid-Term Hackathon, INSOFE)–

• Performed data visualization & EDA on the data gathered.

• Applied feature engineering, Dummification, removal of unwanted columns, cleaning data.

• Applied Linear Regression, Random forest, Decision trees, Xgboost.

• Ensemble techniques like stacking gave the best accuracy.

• Python language was chosen as the programming language. 3) Capstone Project (Edupristine): Building a model for FOREX prediction. Description: Build a model to predict USD to INR conversion rate within +/-0.25 INR accuracy level. It contains the number of missing values daily, monthly, quarterly and yearly. Implementation:

• Data Preprocessing like Missing Value Imputation, Outlier treatment, feature Engineering, etc.

• Algorithms: Multi-Linear Regression or Time Series Analysis like Triple Exponential Smoothing Model or ARIMA Model.

• Final Model description, Validation, and Accuracy of the model like RMSE, MAPE, and accuracy. Data Visualization in R Studio, Excel charts and Graphs.

Achievement

• Awarded Merit Excellence in Edupristine.

Self-Driven Data Science Projects

1) Built Classification model for:

• Prediction of income level (Adults Analysis)

• Prediction of prescribed medication requires pre-authorization.

• Applied Logistic regression, Naïve Bayes, SVM, KNN, Decision Trees, Random Forrest 2) Built Regression models for:

• Prediction of Sales on Black Friday (Analytics Vidhya).

• Prediction of Taxi Fare Prediction

• Applied Multi-Linear Regression, Regularization, Boosting Techniques 3) Built Natural Language programming models for:

• Twitter Sentiment Analysis (Analytics Vidhya).

• Web scrapping and analysis of Indian bloggers.org

• Applied Spacy, NLTK, Textblob.

4) Built Neural Networks models for:

• Analysis on MNIST dataset, Women’s clothing review.

• Image Classification of Dog, Cat, and Horses & Humans dataset.

• Applied Glove, Word Embedding with Keras.

• Applied MLP, CNN, Auto encoders.

Technical Skills

Languages Python, R, SQL, NLP, Spark

Machine Learning algorithms Supervised algorithms: Linear regression, Logistic regression, KNN, Decision trees, Random forest, SVM, Boosting Techniques.

Unsupervised algorithms: Association rule mining, Collaborative filtering, K-Means.

Neural network Algorithms MLP, RNN (LSTM), CNN.

Tools Anaconda, Postman, Putty,Hadoop, Linux, PowerPoint, Tableau, Power BI, Microsoft Excel, Oracle 11g

Achievement

• Was the beneficiary of the Tuition Fee Waiver Scheme (TFWS) Scholarship from Maharashtra Gov. in B.E.

• Secured First Class with Distinction in Bachelor of Engineering.

• Secured Certificate of Excellence in Predictive Business Analytics from Edupristine.

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