ML Engineer
Resume:
Somesh C
Machine Learning Engineer
Chennai, TN
**********@*****.***
I envision myself playing a challenging role by making a contribution to the growth and success of the organization. Intend to build a carrier with leading corporate of hi-tech environment with committed and dedicated people, which will help me to explore myself fully and realize my potential. Willing to work as a key player in challenging & creative environment.
Machine Learning: Regression, Classification (logistic, Decision Trees, Random Forest),
Clustering (hierarchical and K-means),
Naive Bayes, PCA, SVM, Boosting and Bagging
Programming Languages: Python
Scripting Language: Unix
Database Language: MySQL
IDE: Jupyter Notebook, PyCharm
Data Cleaning: Pandas, Scipy,
NumPy
Year Degree/Course Institute Percentage
2020 PGP - Artificial Intelligence
and Machine Learning
Great Lakes Executive
Learning
2015 B.TECH- Computer Science
Engineering
Bharath University,
Chennai
78
Project Title : Health Insurance
Objective:
Leveraging customer information is paramount for most businesses. In the case of an insurance company, attributes of customers like the ones mentioned below can be crucial in making business decisions. Hence, knowing to explore and generate value out of such data can be an invaluable skill to have. We want to see if we can dive deep into this data to find some valuable insights.
Outcome:
The outcomes from this data based on criteria like age, sex,bmi, children,smoker, region,charges suitable to identify customers crucial in business making decisions. Skills used - data visualization, Statistical Inference, Hypothesis Testing Project Title :Identifying potential customers for loans. Objective:
The classification goal is to predict the likelihood of a liability customer buying personal loans. Outcome:
Summary
Skills
Education
Academic Projects
Created with
Developed a model based on KNN algorithm with 95% accuracy which helps in predicting the liable customers. Skills used - logistic regression, Classification, KNN Project Title :Product Recommendation Systems:
Objective:
This project involved building recommendation systems for Amazon products that recommends at least five new products based on the user's habits. A popularity-based model and a collaborative Filtering model were used and evaluated to recommend top-10 products for a user. Outcome:
Successfully developed a recommender system that suggests various products based on user habits. Skills used - collaborative filtering, Python, Recommender Systems IBM Certified Specialist - SPSS Modeler Professional version November 2020 - December 2020 18 v3
L&T INFOTECH
Technical Consultant Mumbai June 2019 - August 2020 Worked in a Sales Security Enhancement project in order to address business pain points such as, user access to data and personal rights.
Solved user-stories for various data defects.
Performed regression testing in the environment as required. Worked on the Security Model of CRM
Worked in the Sales Module of CRM
https://www.linkedin.com/in/somesh-shekar-93592a115 https://github.com/SomeshShekar
https://www.kaggle.com/someshshekar
Certification
Work Experience
Additional Information
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