About Me

  • Full Name:Darshan Senthil
  • Email:darshansenthil0507@gmail.com
  • Address:New Brunswick, NJ

Hello There!

I'm a cricket enthusiast with a tech and design passion. I excelled in coding and data analysis. Leadership taught me mentoring is as fulfilling as creating. I balance work with a love for cricket, music, friends, and my pet.

In my role as a Data Analytics Engineer and Machine Learning Engineer, I've channeled this passion for uncovering meaningful patterns in data and creating effective models. I thrive on the process of interpreting data, building robust models, and integrating data sources to generate valuable insights. If you seek expertise in data analysis, modeling, or data integration, I'm here to assist you in making informed decisions and driving data-centric solutions. Let's collaborate and explore the endless possibilities together!

Experience

  • Work Experience

  • Research Assistant

    Rutgers School of Public Health
    October 2023 - Current

    Modeling and NLP Enhancements:


    Developed a content categorization model using advanced clustering algorithms, achieving 92% accuracy in data clustering. Incorporated NLP techniques to improve text classification, sentiment analysis, and generate precise titles and summaries, elevating our data analysis capabilities.


    Deployment and Data Extraction Innovations:


    Implemented custom CI/CD pipelines, cutting deployment times by 45% and ensuring efficient, reliable delivery of data pipelines. Utilized OCR technology to achieve over 90% accuracy in text extraction from images, significantly enhancing data processing accuracy.

  • Research Data Analyst

    Heldrich Center for Workforce Development
    June 2023 - August 2023

    Data Infrastructure Enhancements and Education Program Impact:


    Identified key correlations between participation in Career and Technical Education Programs and employment rates, leading to a 5-fold increase in both program enrollment and subsequent employment successes. Developed and implemented data pipelines and databases for the New Jersey Education Department, enabling real-time visualization and reporting capabilities across various teams.


  • Data Analyst

    MAD STREET DEN
    February 2021 - August 2022

    Analytics Leadership and Strategic Improvements:


    As Head of Onboarding - Customers in Analytics, led data-driven strategies to ensure the successful integration and satisfaction of over 20 new clients. Crafted and executed an A/B testing framework to pinpoint optimal customer journeys, complemented by detailed audience segmentation based on behavioral and demographic insights.


    Operational Efficiency and Revenue Growth:


    Implemented MapReduce on the Databricks platform, slashing runtime by over 58.6% and significantly boosting performance. Spearheaded analytics initiatives that propelled revenue growth between 5x to 12x for more than 36 global enterprises, through insightful analytics and strategic guidance.


    Innovative Solutions and Team Leadership:


    Developed a proactive alerting system for monitoring key metrics and managing declines, integrated with Slack for efficient alerts, reducing workload by 75%. Mentored a team of 4 interns in the analytics department, fostering skill development in advanced data analysis. Rolled out a verification system that dramatically reduced data verification time by 98.61%, ensuring accuracy and completeness in final reports.


  • Machine Learning Engineer

    Dapplogix Software Private Limited
    January 2020 - October 2020

    NLP and ML Innovations for Enhanced Data Processing:


    Developed a high-accuracy LSTM-based sentiment analysis model for resume parsing, achieving 94% precision. Upgraded text classification and sentiment analysis through advanced NLP and Machine Learning methodologies, integrating Image Processing for comprehensive analysis.

    Initiated and integrated APIs for efficient data collection, designed bespoke ML data pipelines, and implemented Selenium automation, facilitating seamless data flow and enhancing operational effectiveness.



  • Education

  • Master of Science

    Computer Science

    Rutgers, The State University of New Jersey
    2022 - Present

    GPA: 3.96

  • Bachelor of Engineering

    Computer Science Engineering

    Anna University
    2016 - 2020

    CGPA: 7.56

  • Higher Secondary

    Computer Science

    DAV Matriculation Higher Secondary School
    2014 - 2016

    Percentage: 82%

My Services

Analytics

Unlock valuable insights from your data through cutting-edge analytics.

Data Integration

Seamlessly connect and unify your data sources for a complete view of your business.

Model Development

Harness the power of machine learning to drive intelligent decision-making.

Dashboards

Transform raw data into actionable insights with stunning visual dashboards.

Web Development

Crafting exceptional web experiences tailored to your unique needs and goals.

Graphic Designing

Bringing creativity to life through visually striking and effective graphic designs.

Skills

Projects

Driving impactful results through projects encompassing analytics, machine learning, ETL pipelines, and visualization for enhanced data interpretation.

Web Scraping & Analysis for Crime News

Performed web scraping for crime-related news headlines and post dates in New York, applied sentiment analysis for scoring, and generated a time-series plot to illustrate average sentiment scores over dates, offering insights into evolving news sentiments.

Recommendation System

This movie recommendation system, built using KNN, Slope One, and SVD algorithms, offers personalized and accurate movie recommendations to users. Developed in Python, it uses large datasets and various metrics for evaluation. The project includes a web interface for users and documentation for easy setup and contributions.

Online Auction Platform

The Online Auction website is developed using JavaScript, Java, SQL Workbench, and Tomcat Server. It offers a user-friendly interface with features like bidding, item listing, user authentication, and payment processing. The project includes a documented database schema and scripts, enabling easy setup and contributions by developers.

COVID-19 Analysis

Developed an informative dashboard to view the overall number of persons affected, recovered, and died by the devastating COVID-19 virus in a Demographic and Gender Level, as well as perform time-series analysis on this data.

Diabetes Prediction

Created a model to predict diabetes in patients based on parameters such as pregnancy, glucose, blood pressure, body mass index (BMI), age, and so on. 80% accuracy was projected using algorithms such as Logistic Regression, Naive Bayes, Random Forest, and SVC.

Car Price Prediction

The main objective of this research is to forecast the precision of a linear regression model based on the used-car sale price. Both buyers and sellers may utilize this model to make well-informed decisions about the price of a vehicle.

Image and Digit Classification

Built classifiers for identifying faces and categorizing numbers. The three classifiers were that we used are Naive Bayes, Perceptron, and K Nearest Neighbor.

Rainfall Prediction

The goal is to examine the overall quantity of rainfall in India from 1900 and 2016. I completed the pre-processing processes by cleaning, validating, analyzing, and displaying the data to gain clear and improved insights.

Maze Traversal

Maze generation is done using DFS. The BFS and A star algorithms are used to identify a path for the agent to take in order to achieve the objective state.

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Wine Quality Prediction

Analyzed wine quality, predicting it based on ingredients using machine learning techniques like Logistic Regression, Naive Bayes, and Random Forest, achieving a 98% accuracy.

MediBlock WebApp

The project's goal is to use a decentralized WebApp to monitor the drugs that are supplied to consumers. HTML, CSS, JavaScript Framework, and Solidity are used to build the Web Application.

Games Corner WebApp

The main objective is to build a website for the users to play games that are built using JavaScript and the Java platform.

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Connect With Me!

Let's turn your ideas into reality – I'm just a message away to discuss your next project or answer any questions.

Let's Connect!