Hey, thanks for visiting my website. I’m Rajkumar - a recent (2022) graduate from the California State University, Fresno. I’m a Machine Learning Engineer/Data Scientist with over two years of experience working in fast-scaling & high-performance teams.

Currently, I am working as a Business Analyst Intern at Caro Nut Company aiming to build a platform to help the management with business insights to increase the business performance. I have also recently worked as a Data Scientist at Educational and Social Research Organisation and at SPI Private Limited as a Data Analyst Intern. I have a Bachelor of Engineering degree in Electronics & Communication Engineering from the Anna University.

I’m super enthusiastic about learning new technologies and how these can be best used in my job! I often gravitate towards project making me think out of the box and am always up for any new and exciting opportunities coming my way.

Oh, and also, I’m a sports buff and a HUGE F1 Formula fan. Hit me up if you want to talk sports, machine learning, data science, or anything fun in life! :)

Education

Master of Business Administration (MBA) with Specialization in Data Analytics, California State University

January 2021 - Present | Fresno, USA

I am currently pursuing my Graduate Degree in Business Administration (Data Analytics Specialization) from the California State University, Fresno with a focus in Data Science and Data Analytics.

CGPA: 3.91/4.0
Relevant coursework: Machine Learning algorithms, Economics, Relational Database Management Systems, Neural Networks, Fuzzy logic, Data Warehousing, Data Mining, Deep Learning, Probability, Statistics, Deep Learning, Information Systems

Bachelor of Engineering (B.E.) in Electronics & Communication Engineering, Anna University

August 2014 - April 2018 | Chennai, India

I completed my Undergraduate Degree in Electronics & Communication Engineering from the Anna University in 2018.

CGPA: 3.6/4.0
Relevant coursework: Image Segmentation Analysis, Fundamentals of Programming, Data Structures, Analysis of Algorithms, Operating Systems, Object Oriented Programming, Applied Mathematics, Time Series Analysis

Experience

Business Analyst Intern, Caro Nut Company Inc.

March 2022 - Present | Fresno, USA

• Collaborated with the team to develop a strategic sales plan to guide market growth efforts over the coming years using data
• Cleaned & designed a relational PostgreSQL database to preserve 14 million rows of customer data generated from the website
• Analyzed data to provide useful insights using Excel and created dashboards using Tableau, which improved sales by 12%

Junior Data Scientist, Educational and Social Research Organisation

September 2018 - December 2020 | Chennai, India

• Utilized SQL to query 4 Terabyte (TB) of unstructured user data on AWS Cloud and cleaned using R, which reduced the storage by 11%
• Deployed ML model using clustering machine learning algorithms to identify potential donors, which reduced 19+ man-hours per week
• Implemented supervised machine learning techniques using Python to classify the legitimate users and automated the data pipeline using Apache Airflow, which led to a 46% increase in donors
• Conducted code reviews and collaborated with cross-functional stakeholders to revamp code review procedures

Data Analyst Intern, SPI Cinemas Private Limited

May 2018 - August 2018 | Chennai, India

• Queried customer data using SQL and analyzed in R to derive insights on customer behavior, informing strategies that helped to increase the customer retention rate by 9%
• Created predictive models using Python on customer data, which impacted an increase in online sales by 32%
• Conceptualized and implemented A/B test plans to validate customer hypotheses and understand behavior patterns

Project Intern, Indian Space Research Organisation

November 2017 - December 2017 | Bengaluru, India

• Collaborated with a space scientist and 3 other interns to develop graphical user interface based serial communication.
• Presented the project to the head of the department in university and wrote requested detailed report.
  

Key Skills

• Programming Languages: Python, R, Java, SQL, HTML5, CSS3, C++
  
• Operating Systems: Windows, Linux
  
• Libraries: PyTorch, Tensorflow, Keras, Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Statsmodel, NLTK, Caret, Ggplot
  
• Big Data: MySQL Server, AWS Cloud, Apache Airflow, Google Cloud, Spark, Hadoop, Snowflake
  
• Tools: Tableau, PowerBI, Microsoft Excel (MS Excel), Git
  
• Modeling: Linear Regression, Logistic Regression, SVM, Decision Trees, Random Forests, Bagging, Boosting, K-means, KNN, Latent Dirichlet Allocation, Sentiment Analysis, Lasso Regression, Ridge Regression, Naïve Bayes, Deep Neural Networks, Convolutional Neural Networks (CNN), RNN, LSTM, GANs