Saketh Resume

B.Sri Saketh Gupta Email: guptasaketh01@gmail.
com
Mobile: +91-7997685133
Education
Amrita Vishwa Vidyapeetham Tamil Nadu, India
•
Bachelor of Technology - Computer Science; GPA: 7.2 July 2019 - June 2023
Courses: Operating Systems, Data Structures, Analysis Of Algorithms, Artificial Intelligence, Machine Learning, Networking,
Databases,Time Series Analysis
Skills Summary
• Languages: HTML,Python, PHP, C++, JavaScript, SQL, Bash, JAVA
• Frameworks: Scikit, NLTK,TensorFlow, Keras,React,postgres NodeJS, LAMP
• Tools: Kubernetes, Docker, PostgreSQL, MySQL, SQLite
• Platforms: Linux, Web, Windows, Arduino, Raspberry, AWS, GCP
• Soft Skills: Leadership, Event Management, Writing, Public Speaking, Time Management
Experience
Machine Learning Intern - Verzeo Remote
•
Developer (Full-time) March 2021-May 2021
◦ Prototyped machine learning applications and quickly determined application viability: Created customized
applications to make critical predictions, automate reasoning and decisions, and calculate optimization algorithms.
◦ Devlopment of Models: Researched, designed and implemented machine learning applications to solve business
problems affecting number of users.
Backend Developer - Mobisy Technologies
•
Backend Developer June 2022-August 2022
◦ Trained in effectively utilizing PHP 4.4 methodologies.: Worked in groups of 5-10 people, developing key
functions such as customers login details, contact information, credit card details and online support.
◦ Creation of new User registration forms in HTML and embedded with php4.4: Wrote JavaScript functions to
handle complex form validation, multiple windows targeting, and dynamic form element updating. Developed server
side scripts to process user requests using object oriented PHP 4.4
◦ Impact: Customers have used the forms to raise their issues and requests.
Software Engineering Intern - Honeywell Technology Solutions
•
Software Engineering Intern January 2022-Present
◦ Extraction of Crucial Data and finding patterns: Worked with my teammate in developing an algorithm which
identifies keywords and patterns from Word documents which contain information regarding airports and their
operational runways.
◦ Creation of PostgreSQL Database: The information extracted from the documents is stored in relational database
which makes data retrevial easier and faster
◦ Creation of API’s: Created API’s by fetching the data from SQL Database using Springboot.These API’s contain
crucial Airport and Runways Information
◦ Designing interactive and HUE(Honeywell User Experience) standards WebPage: Designed a dynamic web
application that involves data fetching, manipulation, and rendering by using modern technologies like React, JavaScript,
and Material-UI
◦ Impact: The database and the Webpage will cutdown the search time for information as we have migrated from
traditional file-search method to a relational database.
Projects
• Career Recommendation System (Supervised Learning, Data Pre-processing, Outlier detection,removal):
Machine Learning model to predict the career track based upon previously obtained marks in under-Grad courses, Hobbies and
Interests. Pre-processed a dataset with over a lac records and trained it on various models to reach best accuracy of 85% Tech:
Python, Google Sheets, Jupyter Notebook. (November ’21)
• Supermarket Management System Multi Client Network (Socket Programming, Network Models, Routing
Protocols ,Link Layer Protocols): A comprehensive case study performed to understand usage of computer networks in
super market management. Built and tested various network models using Cisco Packet tracer and configured various routing
protocols like Routing Information protocol(RIP),Open shortest path first(OSPF) to understand key differences. Tech:
Python, Cisco Packet Tracer , Java (October ’21)
• Taxi Demand and Fare Prediction using ML and Time Series Models(Regression, ensemble learning, and
neural networks): This project involved the development and implementation of a comprehensive system for predicting taxi
demand and fare using advanced machine learning techniques and time series analysis. The objective was to optimize taxi fleet
management and enhance passenger satisfaction in urban transportation systems.The project involved extensive
experimentation and evaluation using real-world taxi data to validate the accuracy and effectiveness of the predictive models.
The results demonstrated the system’s ability to forecast both demand and fare with high precision, providing valuable insights
for decision-making in the taxi industry.
• Restaurant and Food Recommendation System(NLTK (Natural Language Toolkit),Gensim,Pandas,Numpy):
This project involved the development and implementation of a restaurant and food recommendation system using advanced
machine learning techniques and data analysis. The objective was to provide personalized recommendations to users based on
their preferences, improving their dining experience and enhancing customer satisfaction.
Certifications
• Python and Machine Learning in Financial Analysis : Udemy
• Algorithmic Trading with Python: Machine Learning strategies: Udemy
• Amazon Elastic Compute Cloud (EC2) Beginners Certification : Udemy
• Face Recognition: Deployment of Machine Learning Mode: Udemy
Volunteer Experience
Event Organizer at ASCII Club, Amrita Coimbatore, India
•
conducted workshops and delivered workshops,events reaching juniors and peers in college. Feb 2021 - Aug 2021

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B.Sri Saketh Gupta Email: guptasaketh01@gmail.

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