HRUSHIKESH CHAVAN

DATA SCIENTIST, MTECH IIT KANPUR

 

 

 

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   • MTech – IIT Kanpur
   • BE - Pune University

   KEY SKILLS

   • Languages: Python, SQL (MYSQL database)
   • Python Packages:

   NumPy, Pandas, Scikit-learn, Seaborn, Matplotlib, Regular Expressions etc

   • Machine learning: Primary:

   Linear Regression, Logistic Regression, k Nearest Neighbor’s, Decision Tree, Random Forest, K- means Clustering.

   Secondary:

   SVM, Naïve Bayes, AdaBoost, Gradient Boosting, XGBoost, Recommender system

   • Natural Language Processing:

   Text processing: Lowercasing, Stop Words, Tokenization, Stemming & Lemmatization etc

   Text vectorization:

   BOW, Tf-IDf, Word2Vec

   Libraries: NLTK, Spacy, VADER, TextBlob, Gensim, BeautifulSoup

   CERTIFICATIONS

   Data Science with Python by Henry Harvin Education

   SOFT SKILLS

   • Effective Communication
   • Business Acumen
   • Active Learning
   • Team Player
   ABOUT ME

Machine Learning Engineer with 4 + years of industrial experience in Python, Machine learning, NLP and Data Science.

Have expertise in preparing and preprocessing data, deriving useful insights from data, developing highly scalable machine learning models. Good knowledge of applied statistical skills, distributions, regression. Strong Mathematical Skills (Multivariable Calculus and Linear Algebra).

Taking ownership, mentoring colleagues, learning new technologies quickly, delivering product in a tight timeline are some of the skills which are being appreciated by the leadership.

PROFESSIONAL EXPERIENCE

Data Scientist | Pune                                                   [Apr’23-Till Date]

• Prediction of reliability and life of products using Survival analysis.

 

Engineer | Eaton India, Pune                                     [Oct’20-Mar’23]

• Worked with large, complex data sets to solve business problems.
• Used machine learning techniques to develop and evaluate algorithms to improve performance, quality, data management and accuracy
• Exploring and visualizing data to gain an understanding of it thereby getting insights from the data.

 

Project 1: Understand perception of end users and its motive.

Description: To develop NLP model to understand feelings of users by analyzing their reviews and to study the source behind such reviews.

• Worked on text preprocessing steps like: Lowercasing, Stop word removal, Stemming, Lemmatization, Tokenizer.
• Worked on Exploratory data analysis in order to understand the data: Word cloud.
• Handled text vectorization methods like: Bag of words, Tf-IDf
• Helped business to identify key areas of improvement in product and services.

 

Project 2: Developed transfer function to predict failure of hose fitting used in aerospace application.

• Generated data points or runs for simulation using design of experiment (DOE) method.
• Saved 60% of time required for data acquisition and gathering, hence reduced time of new product launch.

• Problem-solving
• High attention to detail

POSITION OF RESPONSIBLITY

• Independently conducted computer literacy classes for 40 + students of RSM iTeach school, Pune [2022]
• Life time Member of Sakura Science Club run by Japan Science and Technology Agency [Feb 2019-Present]
• Orientation Team Member, Counselling Service, IIT Kanpur [Jan’19]
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