SUMMARY

Seeking internship opportunities for summer 2021 in the field of Data Science, Data Analytics, Machine Learning, Deep Learning and Artificial intelligence.

Key Technical Skills: R, Python, Cobol

Tools: Jupyter Notebook, RStudio, Tableau, MS Excel Packages: Numpy, Pandas, Seaborn, Matplotlib, Scikit-learn Database Management: SQL, DB2

Version Control: Github

Analytical Skills: Statistical analysis, Data Mining, Predictive Modeling, Data Analytics, Machine Learning. WORK EXPERIENCE / EMPLOYMENT HISTORY

Organization # 1: Infosys Ltd India Duration: Dec 2017 - Oct 2020 Project: Image Processing- Facial Emotion Classification

• Developed model for facial emotion detection for an online medical consultation platform

• Implemented algorithms for 2D/3D real time image in front of camera for streaming videos.

• Attained accuracy of 93.7%.

Dashboard Creation

• Maximized the response of survey by optimizing the field work personnel.

• Cleaned up the broad dataset using python, structuring and preprocessing it. Organization # 2: DXC Technology Duration: July 2015 - Dec 2017 Project: Churn Analysis of Auto Insurance customers Business Problem: Predicted Churn rate and the factors responsible for churn of customers in an auto insurance firm and suggest necessary measures to control customer churn. Roles and Responsibilities:

• Performed Statistical analysis of customer data.

• Built Logistic regression, Gradient boosting and Random forest to predict customer churn.

• Handled imbalanced data using SMOTE sampling technique and implemented PCA for dimensionality reduction.

• Analyzed confusion matrix to compare performance metrics and suggested measures to reduce churn rate. Organization # 3: Cognizant Technology Solutions Duration: Nov 2013 - Jun 2015 Roles and Responsibilities:

• Performed exploratory data analysis to gain deeper understanding of business problem.

• Tracked extensively to handle missing and outlier’s data.

• Worked towards data collection, data cleaning, analysis and visualization of broad datasets.

• Analysed large amount of information to discover trends and patterns.

• Documented recommendation to customer and contributed towards sales. C P Harish Varma adkbvh@r.postjobfree.com Mob: +1-919-***-**** LinkedIn: https://www.linkedin.com/in/harish-varma13 E-portfolio: https://eportfolio.greatlearning.in/c-p-harish-varma 129 Merrimac Street, Buffalo, New York, 14214

ACADEMIC PROJECTS

Forecast Bike Rentals Python SQl University at Buffalo

• Determined and plotted features which have high and low correlation with response variables

• Predicted total rentals per hour for the last quarter of 2012 Pitch Analysis of Shark Tank contestants University of Texas at Austin

• Initial text mining exercise was performed on a dataset with 495 entrepreneurs making their pitch to VCs.

• Build models (CART, Random Forest, Logistic Regression) to predict keywords which have an impact on striking a deal. Skills and Tools: Text Mining, Random Forest, Logistic Regression, Sentiment Analysis Visualizing Car Insurance Claims using Tableau University of Texas at Austin

• This project explored the art of problem-solving with the aid of visual analytics.

• Tableau’s data visualization tools were used to create interactive dashboards to provide high-level insights.

• Dashboards were used to drive the company's car insurance schemes. Skills and Tools: Data Visualisation, Tableau, Business Intelligence EDUCATION

Qualification Year College/University/Board GPA/CGPA Masters 2020 University at Buffalo, Data Science, US 4 GPA B.Tech 2013 LPU, Punjab, India 8.11/10

CERTIFICATIONS

• Certified Business Analytics and Business Intelligence by Great learning TexasMcCombs : https://eportfolio.greatlearning.in/c-p-harish-varma

• Certified Statistical Learning from Stanford University: https://verify.lagunita.stanford.edu/SOA/83b4e6475c274b688a380fcf96630bad/

• IBM Machine learning with Python:

https://courses.cognitiveclass.ai/certificates/a63753910ff846818d11bf77b2a976f6

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