Analytics Intern Machine Learning

DHANESH AKOLU

Jersey City, New Jersey, *****, USA

******@*******.*** +1-551-***-**** www.linkedin.com/in/dhanesh-akolu/ Current MS in Computer Science student with comprehensive knowledge of Data Cleaning, Statistics, Machine Learning Deep Learning and Backend web development.

EDUCATION

Stevens Institute of Technology Expected May 2024

MS, Computer Science Hoboken, NJ

Relevant Courses: Machine Learning, Database Management Systems, AI, Deep Learning, Web Mining University of Mumbai May 2020

B.E Computer Engineering Mumbai, India

SKILLS AND CERTIFICATIONS

• Languages: Python, SQL, C, C++, JSON, HTML, CSS, JavaScript, Java

• Software and Libraries: Jupyter Notebook, Tableau, IDLE, Keras, Tensorflow, Flask, Postman, MongoDB

• Knowledge: Machine Learning, Exploratory Data Analysis, Predictive Analytics, Data Cleaning

• Certifications: Data Analysis with Python, SQL: Data Reporting and Analysis, Tableau, Data Science Bootcamp EXPERIENCE

Jio Haptik Technologies, Mumbai Aug 2021 - Apr 2022 Analyst

• Developed chatbots and smart assistants using natural language processing techniques, deploying them on client websites and social media platforms such as Facebook and WhatsApp

• Collaborated with clients to gather data files outlining their desired chatbot responses, refined and cleaned the data, and implemented the chatbot development accordingly

• Managed cross-functional dependencies and drove innovation to continuously improve the quality of conversational AI solutions, resulting in a 25% increase in customer engagement

• Created WhatsApp chatbot buttons and lists using JSON to optimize user experience ANZ Dec 2020 - Jan 2021

Predictive Analytics Intern

• Performed Exploratory Data Analysis on a synthesized transaction dataset containing three months’ worth of transactions

• Predicted annual salary for customers using the provided dataset and evaluated the model's performance

• Segmented the dataset and drew unique insights, including visualization of the transaction volume and assessing the effect of any outliers

• Built a predictive model to estimate the annual salary for customers based on transactional data

• Used Seaborn to visualize regression plot, residual plot, and pairplot to analyze data distribution

• Evaluated the model using MSE and R2 score, with results of MSE: 26.63 and R2: 0.58 ACADEMIC PROJECTS

Web Forum Backend Apr 2023

• Developed a Web Forum backend using Python, Flask, and MongoDB, delivering JSON REST API endpoints for posting, reading, and deleting forum posts

• Integrated Postman for endpoint testing and debugging, with error messages provided in JSON format

• Incorporated user authentication, profile creation and management, and threaded replies to enhance forum functionality

• Added advanced search features such as date/time range queries, user-based range queries, and full-text search capabilities

Predicting College Application Acceptance Using Machine Learning Nov 2022

• Implemented machine learning models (linear regression and SVM) to predict the chances of application acceptance based on 7 features

• Trained the models on 80% of the data, achieving MSE of 0.045 (linear regression) and 0.041 (SVM)

• Reduced data dimensions using PCA and retrained a model, resulting in improved MSE of 0.039

• Demonstrated skills in data analysis, machine learning, linear regression, SVM, PCA, and data visualization ACHIEVEMENTS & POSITION OF RESPONSIBILITY

• Captain of College Soccer team

• Represented the City and College Soccer Team in various National Tournaments

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