Hi, I am

Gautam Naik

Software Engineer, AI & ML

About Me

With over 9 years of experience as a Software Engineer complemented by 4 years of hands-on learning and application in Data Science and Machine Learning, I bring a unique blend of software development expertise and a strong foundation in data-driven decision-making.

I excel in frontend technologies such as ReactJS and have strong skills in backend development with Python, Node.js, FastAPI, MySQL, and DynamoDB. Furthermore, I have experience in creating and deploying scalable serverless applications on AWS using AWS Lambda and AWS Cloud Development Kit.

My growing expertise in Machine Learning and Data Science includes working on personal projects in predictive modeling, data analysis, and ML-driven applications. I am currently enrolled in the Scaler Data Science and Machine Learning Program to deepen my expertise in ML algorithms, statistical modeling, and AI-driven solutions.

I am actively seeking opportunities where I can apply my expertise in ML and Data Science to drive impactful, scalable solutions while bridging the gap between software engineering and AI-driven innovation. If you're looking for a versatile engineer with a strong product mindset, a passion for machine learning, and a proven track record in delivering effective AI-driven solutions, let's connect!

Experience

9
7
15
8
40
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Curriculum Vitae

Education
Contact
Links
References

Name
Position
Intro
Skills
Projects
Experience

Checkout my CV

Skills

Data Science, AI & ML
Professional
Expertise
Predictive Analysis • Time Series Analysis • EDA • Model Deployment • Business Intelligence • Experiment Tracking
Tools
Python • Pandas • Numpy • SQL • Streamlit • Tableau • Sci-kit Learn • PySpark
Frontend Dev
Professional
Expertise
Web Development • Single Page Applications • Progressive Web Apps
Technologies
HTML-CSS • ReactJS • NextJS • Redux • JavaScript • Typescript • Webpack
Backend Dev
Semi Pro
Expertise
Serverless Apps • API Design
Technologies
Python • Fast API • AWS CDK • AWS Lambda • NodeJS
Databases
DynamoDB • MySQL

Blogs

Sales Forecasting

Sales Forecasting

Jan 31, 202536 min read
Case study on sales forecasting utilizing machine learning algorithms and time series models. It includes exploratory data analysis, hypothesis testing, feature engineering and model deployment.
Driver Churn Prediction

Driver Churn Prediction

Aug 30, 202410 min read
This case study delves deeply into OLA driver data to uncover insights about the driver churn and assist the company in retaining drivers.
Automated Trading System

Automated Trading System

Dec 29, 20237 min read
Case study of my automated trading system. This post will walk through the process of building the system, the components and technologies used, how it works, and the challenges faced.

Projects

Gen AI CV JD Ranker

Gen AI CV JD Ranker

This app uses Gen AI to evaluate and rank candidates based on how well their CVs match a given job description, helping recruiters streamline the candidate selection process.

Languages
Python
Technology
Streamlit, LangChain, LLM
Sales Forecasting

Sales Forecasting

This application predicts the driver churn rate for a ride-sharing company using machine learning algorithms.

Role
Data Scientist and ML Engineer
Technologies Used
LightGBM, Optuna, Pandas, Numpy, Scikit-learn, Seaborn
Automated Trading System

Automated Trading System

This system scans daily market data to generate trade signals, automatically places orders, and saves trade data to a database.

Languages
Python, Javascript, React
Technology
AWS Lambda, DynamoDB, Pandas, Numpy

Timeline

Some Role
Your Company
You decide
  • Any development and data related task
Senior Consultant
Kaara Tech
Jan 2024 - Present
  • Developed a Gen AI application that streamlined the recruitment process by ranking CVs based on their alignment with specific job descriptions.
  • Built a Gen AI interview conducting bot using LLM for rating candidate answers that lessened the workload of the recruiting team.
  • Concurrently advanced ML expertise through self-directed learning and personal projects focused on deep learning and Gen AI, applying software engineering best practices to ML workflows.
  • Serving as a Consultant for Microsoft, collaborating on an application built using ReactJS, NextJS, and Redux.
  • Successfully integrated RTK Query into the project's architecture, significantly improving the data fetching and caching processes.
  • Implemented Google Analytics integration to monitor and analyze user behavior, providing valuable insights for product improvement.
Data Science & Machine Learning Student
Scaler
June 2023 - May 2025
  • Exploratory Data Analysis using SQL, Pandas, Python, Excel & Tableau
  • Linear Algebra, Calculus, Optimization, Probability & Statistics
  • Hypothesis testing, Statistical tests
  • Machine Learning Algorithms & ML-Ops
Lead Software Engineer
Grassdoor
April 2017 - Dec 2023
  • Was a member of the core team that developed Grassdoor, an e-commerce website and its associated admin portal using ReactJS.

  • Led the company's transition to data-driven decision-making through ML implementation.

  • Communicated with stakeholders to gather requirements and provided recommendations that considered both business and technical viability, resulting in reduced development time.

  • Built an ML model using the Random Forest algorithm to predict monthly sales resulting in a 15% increase in profit and better inventory planning.

  • Built a recommender system using the Apriori algorithm resulting in increased sales across product categories.

  • Developed sales analytics dashboards by constructing efficient SQL queries to aggregate data from various sources

  • Increased the engineering team's efficiency by recruiting, training, and supervising a group of 7 junior developers.

  • Developed cost-effective serverless microservices using AWS CDK, AWS Lambda, DynamoDB, and API Gateway.

Frontend Developer
Genora Infotech
August 2015 - March 2017
  • Designed and launched websites for small and medium-sized businesses, using technologies such as Angular Material, HTML, CSS, Bootstrap UI, and JavaScript, which resulted in increased sales and reach.
  • Handled UI/UX design for mobile and web apps using Adobe Creative Cloud and other wireframing tools.
  • Designed banners, infographics, magazines and other promotional materials for the company using a variety of design tools like Photoshop, Indesign, Illustrator which resulted in increased awareness about the company on social media.
Computer Engineer
PCCE College
June 2011 - May 2015
  • Studied various programming languages.
  • Made a game as final year project using Unity 3D engine.
  • Participated in various hackathons.
Student
Mushtifund School and College
Dont Remember - May 2011
  • Studied science, maths and some languages.
  • Participated in various quiz competitions.
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Declaration

I declare that the information given above is genuine & correct to the best of my knowledge.

Let's Talk

I am always on the lookout for new and exciting opportunities. Drop an email if you have something exciting to share and I'll try my best to get back to you!
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