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ManoharVit/README.md

πŸ‘¨β€πŸ’» About Me

I am a Data Analytical Engineer graduate with a Master's degree from Northeastern University and a strong foundation in Programming. My expertise lies in Data Wrangling, Statistical Modeling, Machine Learning, and Data Visualization, utilizing tools such as Python, DVC, Airflow, GCP, and Tableau.

With a proven ability to transform complex datasets into actionable insights, I thrive in cross-functional collaborations and delivering data-driven solutions that align with strategic organizational goals. At Omdena AI, I served as a Junior ML Engineer, deploying RESTful APIs for predictive analytics, integrating Hugging Face, and addressing data quality issues to drive impactful business decisions. As a Data Science Researcher at Massachusetts General Hospital, I implemented NLP techniques and deep learning models, publishing results in collaboration with Harvard. At Shiash Info Solutions, I worked as a Data Analyst, executing ETL pipelines for alerts, logs, and KPI-based dashboards.

🌐 Discover More: Visit My Portfolio


πŸ”§ Knowledge Glimpse

Category Details
πŸ’» Programming Languages SQL Python R Java
πŸ”¨ Data Engineering Tools AWS MySQL MongoDB Elasticsearch Snowflake
πŸ“Š Data Visualization Tools Tableau Power BI Flourish Data Wrapper
πŸ”§ Operation Tools Jenkins Docker Kubernetes Ansible Terraform MLflow Kubeflow Airflow Hugging Face Azure ML SageMaker
πŸ“‚ Expertise ETL Git Microsoft Office
🀝 Soft Skills πŸ—£οΈ Storytelling, 🀝 Interpersonal Skills, 🧩 Problem-Solving, 🧠 Strategic Thinking

πŸ“œ Certifications & Achievements

  • πŸ… Data Mining Hackathon (US Offense Types): Special Recognition
  • πŸ† Machine Learning (MLS-C01): AWS Certified
  • πŸ… Certificate of Merit: VIT-AP Engineering Clinics Projects
  • πŸ› οΈ Robotics Club: Office Bearer and Poster Designer, VIT University

βœ‰οΈ Contact Me

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  1. IE7374-MachineLearningOperations/StockPricePrediction IE7374-MachineLearningOperations/StockPricePrediction Public

    An MLOps pipeline for stock price forecasting with Airflow, DVC, and Google Cloud, featuring advanced financial models and continuous data integration.

    Jupyter Notebook 2 1

  2. Facial-Expression-Detection Facial-Expression-Detection Public

    Processed 29,051 images ensuring balanced emotion distribution, achieving 87% real detection.

    Jupyter Notebook

  3. ECommerce-Dive-Deep-Sales-Analysis ECommerce-Dive-Deep-Sales-Analysis Public

    In this project, we developed an ETL pipeline using Apache Airflow to process delivery data and track delayed shipments. The pipeline downloads data from an AWS S3 bucket, cleans it using Spark/Spa…

    Jupyter Notebook 2

  4. PERSONALITY-PREDICTION-TEST PERSONALITY-PREDICTION-TEST Public

    Career professionals and psychologists use this information in personality career tests for recruitment and candidate assessment. Accurate personality estimation is delicate and can be falsified to…

    Jupyter Notebook

  5. MoviETL-Data-Pipeline MoviETL-Data-Pipeline Public

    Crafted an ETL pipeline to handle 26 million user ratings and about 45,000 movies. The pipeline has the potential of ingesting data at an efficiency of 10,000 records per minute into AWS Redshift. …

    Python

  6. Crowd-Sourced-Mapping Crowd-Sourced-Mapping Public

    Using crowdsourced satellite data and ndvi values, trained a powerful multivariate classification machine learning model to classify land cover categories using'max_ndvi' and other temporal data. G…

    Jupyter Notebook 1