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Facebook Project
Employee Recruitment System in Python
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There are three responses to completion of work
— yes, no, and WOW!
ABOUT
I'm a passionate Data Scientist and a Data Science graduate student, with a strong foundation in machine learning, data engineering, and cloud-based deployment. With hands-on experience as a Lead Data Analyst at Shadowfax and a Software Engineer Intern at Frugal Testing, I specialize in delivering scalable, data-driven solutions.
I bring expertise in:
- Predictive modeling and ML: Proficient in Python (Scikit-learn, TensorFlow, PyTorch), SQL, and tools like LightGBM, with projects spanning healthcare and financial domains.
- Cloud-native ML deployment: Skilled in using AWS, GCP, and Docker to deploy real-time data pipelines and Streamlit dashboards.
- Big Data & DevOps: Experienced with Apache Spark, Hadoop, and container orchestration using Kubernetes for scalable analytics.
- Visualization & Communication: Adept in Tableau, Power BI, and Looker Studio to translate complex findings into clear business insights.
With a 98% accuracy milestone in database cleaning and a 60% boost in regional productivity through manpower analytics, I aim to combine technical precision with impactful results.
PROJECTS
TutorMind - Personalized AI Tutor
An AI-powered tutoring assistant that answers student queries from their own curriculum using custom-uploaded documents.
Accomplishments
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Supports PDFs, DOCX, and TXT files with intelligent chunking and vector search.
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Uses LLMs (Flan-T5) with auto-mode switching for factual vs conceptual questions.
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Firebase-based user authentication, session history, and feedback tracking.
Real-Time Crypto Trading Dashboard
Designed and deployed a real-time, Docker-based crypto trading dashboard with live data ingestion, ML-driven predictions, and a Streamlit visualization interface.
Accomplishments
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Built a modular, containerized crypto trading system using Docker Compose, enabling real-time data ingestion, processing, and ML inference across isolated services.
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Implemented a live candle aggregation and prediction pipeline, generating OHLCV data from streaming trades and applying machine learning models to make actionable trade signals.
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Deployed an interactive Streamlit dashboard on GCP, displaying live market data, model predictions, and system status for full observability and control.
Diabetes Prediction Using ML
Built a complete end-to-end pipeline to predict diabetes based on health attributes like BMI, HbA1c level, blood glucose levels, and smoking history.
Accomplishments
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Designed an interactive Streamlit app for visualization and real-time classification of patient data
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Utilized advanced machine learning techniques with an emphasis on feature engineering and dimensionality reduction.
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Logged and tracked experiments using MLFlow/DagsHub, and containerized the solution for scalable deployment
Heart Attack Prediction Using ML
Developed a predictive model to assess the likelihood of heart attacks using health and demographic data from a large dataset
Accomplishments
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Developed a predictive model to assess the likelihood of heart attacks using health and demographic data from a large dataset.
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Utilized advanced statistical techniques and machine learning algorithms to analyze factors like general health, physical activity, smoking status, and BMI.
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Achieved high accuracy and F1 scores in predicting heart attack risk, with insights derived from patient history, lifestyle, and medical records.
Chatbot using Dialogflow
A user-friendly chatbot for food ordering and tracking using Dialogflow, FastAPI, and GitHub, emphasizing adaptability and collaboration.
Accomplishments
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Integrated a user-friendly frontend with the chatbot, enabling menu exploration, ordering, and order tracking within one interface.
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Proactively addressed challenges, ensured adaptability, and committed to ongoing project enhancements despite limitations, delivering a user-centric experience.
Road Accidents Dashboard
This project aims to analyze road accidents based on factors like weather, road surfaces, location, vehicle type, and casualties.
Accomplishments
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Extracted, cleaned, analyzed the data, and built an interactive dashboard for easy visualization.
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The insights gained will aid in accident prevention and improving road safety.
EasyChat Website
EasyChat is a website where users can create rooms and chat with anyone with the link.
Accomplishments
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EasyChat website is a place where user come here and create temporary rooms and can chat. Easy and safe to use.
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I have used HTML, CSS, JavaScript, and PHP for the backend to make the portfolio website.
Portfolio Website
My portfolio is a collection and reflection of my experiences to get a clearer picture of my growth.
Accomplishments
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The purpose of my portfolio is to track my learning and developments.
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I have used HTML, CSS, and JavaScript to make the portfolio website.
SKILLS
EXPERIENCE & EDUCATION
Education
UNIVERSITY AT BUFFALO
Student
Master of Science (MS)
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Pursuing Master's in Data Science
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Relevant Coursework:
Experience
SHADOWFAX
Lead - Data Analytics
Worked on Cost, Productivity and Performance Optimization.
- Achieved 98% accuracy in employee database cleaning — a first in company history.
- Boosted regional productivity by 60% via manpower allocation strategies backed by analytics.
- Delivered actionable insights through hub performance dashboards that improved operational efficiency.
Experience
FRUGAL TESTING
Software Engineer Intern
Worked for ONELERN and NPCI Projects.
- Built automation frameworks for 4 enterprise projects, reducing manual QA efforts by 30%.
- Collaborated with NPCI on the CBDC platform; contributed to deployment and global publication.
- Streamlined test pipelines using data analysis and performance monitoring tools.
Education
COURSERA
Student
Summmer Training on: "Modern BigData analysis with SQL"
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Completed all weeks, of course, scoring 100% in all assessments.
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Learned how to use frameworks like Hadoop System and worked on Hive and Impala.
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Queried some Big Data to analyse some real-life questions.
Education
LOVELY PROFESSIONAL UNIVERSITY
Student
Bachelors' of Technology (B.Tech)
- Engineering Major- Computer Science and Engineering
- Specialization - Data Science
AWARDS/ CERTIFICATIONS
CONTACT
Shashank Mankala
shashankmankala.5@gmail.com
New York, United States
Contact no. +17165471045
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