Jayanth Sai K | My Portfolio

Hi, I'm Jayanth Sai K

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Self-Driven, Quick Starter, Just moving step-by-step forward to enhance my skills and knowledge.

About

“Passionate about harnessing the power of data to drive strategic decisions and fuel innovation, I am a dedicated data enthusiast currently seeking full-time opportunities as a Data Analyst or Data Scientist. With a solid foundation in mathematics and analytics, complemented by hands-on experience at startup2launch, I bring a unique blend of technical expertise and creativity to the table.

My journey as a data-driven software engineer has equipped me with the skills to develop reusable components and tackle complex engineering challenges, utilizing technologies like Angular and PrimeReact to deliver innovative solutions. Armed with a degree in Data Analytics Engineering from Northeastern University, I am slated to graduate in May 2024.

My proficiency extends to a range of skills vital to the roles of Data Analyst and Data Scientist, including data visualization, statistical analysis, machine learning, and predictive modeling. I excel in translating intricate datasets into actionable insights and compelling narratives that drive business success.

Languages: Python, Java, SQL, NoSQL Databases, R, HTML5, CSS3
Databases: MySQL, NoSQL, MongoDB, PostgreSQL
Libraries: NumPy, Pandas, OpenCV, CSV
Frameworks: Flask, Django, Node.js, Keras, TensorFlow, PyTorch, Bootstrap, Apache
Softwares: Tableau, Medium, Flourish, Datawrapper, Google Collab
Tools: Visual Studio, Jupiter Notes, Word, Excel
Technologies: Git, AWS, GCP, Heroku
Soft Skills: Analytical Abilities, Teamwork, Collaboration, Creativity, Leadership.

If your organization is seeking a dynamic professional who thrives on turning data into strategic advantages, let's connect.Together, we can unlock the full potential of your data-driven initiatives.
Reach out to me at karri.j@northreastern.edu or (+1) 8574372696 to explore how we can collaborate.

Experience

SYNCRONIX GROUP

Intern

Engineered a comprehensive React component library leveraging PrimeReact and Angular, improving development workflow and standardizing interfaces across company projects.
Spearheaded the integration initiative, delivering reusable components for seamless adoption by multiple teams, and promoting standardized application architecture.
Contributed to a collaborative school management system project, enhancing digital communication between students, educators, and administrative staff.
Tools: PrimeReact, Angular, EC2, AWS

MAY 2023 - PRESENT | Texas, USA

AWS CLOUD INTERNSHIP

Intern

Gained insights on AWS cloud foundations and creating virtual instances in AWS cloud.
Hosted a website by creating and configure an ec2 instance in the AWS management console, other features like load balancing and storage services are also utilized for hosting the website.
Tools: Python, DevOps, CLI, SDKs, EC2, AWS Management Console

OCT 2021 - DEC 2021 | Vijayawada, India

Cisco Networking Essentials

Intern

Gained Knowledge in Programming Essentials using Python.
Worked on three web applications targeting customers, selling vendors, and admin users; built 50+ RESTful APIs with functionalities such as login/sign up, view a product, add a product to cart, checkout the order, etc.
Improved the response time by 20% by refactoring the codebase and changing database design and queries.
Added a bulk upload feature which reduced the manual work of adding products into a database.
Tools: Python, Flask, MongoDB

MAY 2021 - JUL 2021 | Vijayawada, India

CIGNEX Datamatics

Student

Designed a library management system for a local library, where we undertook activities like requirement elicitation, preparing Data Flow and Entity-Relationship diagrams.
Delivered a solution for a POC involving Automatic Financial Document Classifier using Natural Language Processing and Support Vector Machines with 96% accuracy on the company’s data.
Tools: Python, Scikit-learn, NLTK

JUL 2020 - AUG 2020 | Vijayawada, India

Projects

                
Time Series Analysis On Human Activity
                  Monitoring
                  A analysis based on Python
                
AccomplishmentsTools: Python, HTML, CSS, Bootstrap, Collab
Created functions to incorporate time series analysis on human activity monitoring to create a
                    forecasting model.
Developed custom python functions to input accelerometer data for 15 different subjects.
generating graphs to compute the outputs.
Compared multiple variables on Natural Visibility Graph (NVG) and Horizontal Visibility Graph
                    (HVG) to determine end results.
Improved the accuracy of predictive models for health and wellness outcomes by utilizing the
                    results of data analysis.

Banking and Financial Services Management
                  A analysis based on SQL
                
AccomplishmentsTools: Python IDE, My SQL, NoSQL, HTML, CSS, Bootstrap, Collab
Developed conceptual data models and mapped to relational database with over 10 entities.
Implemented business cases through MySQL and NoSQL databases to understand banking and financial
                    database management systems.
Connected MySQL through Python IDE to perform analytics and gain insights on transaction, loan and
                    other service trends.

Prediction of Employee Access Control Using AI 
                  A real-time module using AI & ML
                
AccomplishmentsTools: Python , CSV, ML, Collab
Developed real-time modules to predict the "Employee Access Control" deploying ML Algorithm.
Obtained historical data in real-time from a company and discovered the data was imbalanced,
                    conducted exploratory data
                    analysis to clean the data and improve the accuracy of the model.
Evaluated the model's performance using metrics such as MCC, AUC, and ROC scores to specify
                    model's ability to accurately predict the outcomes.
Monitored the forecasted results of various algorithms.

Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.