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    Deepak-Manian/README.md
    ╔══════════════════════════════════════════════════════════════╗
║ SYSTEM_VERSION_4.0 ░ STATUS: ONLINE ░ SYNC: COMPLETED ║
╚══════════════════════════════════════════════════════════════╝

    Deepak M

    DATA_SCIENTIST.EXE

    Engineering high-performance ML pipelines and insightful analytical models.I bridge the gap between raw data chaos and architectural precision.

    LinkedInGitHubEmail

    01. TECHNICAL DNA

    LANGUAGE / IDE

    PythonSQLHTMLCSSVS CodeJupyter

    ML / DL FRAMEWORK

    scikit-learnTensorFlowKerasHuggingFaceOpenCV

    DATA & VISUALIZATION

    PandasNumPyMatplotlibPower BIStreamlit

    DATABASE / CLOUD

    PostgreSQLMongoDBMySQLOracleSQLAWS

    DOMAIN KNOWLEDGE

    NLPComputer VisionGenerative AIRAGAnomaly Detection

    02. PROJECT PORTFOLIO

    PROJECT_001 — Hyperlocal News Anomaly Detection

    NLP pipeline to detect anomalous hyperlocal news patterns and potential source misattribution using transformer embeddings.

    #BERT#RoBERTa#NLP#Streamlit#UnsupervisedML

    PROJECT_002 — Fish Classification CNN

    CNN-based image classifier using transfer learning to identify fish species. Deployed as a Streamlit inference app.

    #TensorFlow#Keras#TransferLearning#ComputerVision#Streamlit

    PROJECT_003 — YouTube Ad Revenue Predictor

    Regression models to forecast YouTube ad revenue from engagement and contextual features. Evaluated Linear, Ridge, Lasso, and Gradient Boosting via R² and RMSE.

    #Regression#FeatureEngineering#GradientBoosting#Streamlit

    [IN_PROGRESS] — Next Build

    Currently enrolled in GUVI Data Science Program (IIT-M Pravartak). Capstone project underway.

    #DataScience#Capstone#GUVI#IIT-M

    03. EXPERIENCE LOG

    ╔══════════════════════════════════════════════════════════════╗
║ GTN INFO SOLUTION ║
║ Junior SQL Analyst Intern ░ 05/2024 – 05/2025 ║
╠══════════════════════════════════════════════════════════════╣
║ > SQL queries (joins, subqueries, aggregations) on MySQL ║
║ > Python (Jupyter) for data extraction & preprocessing ║
║ > Data validation — duplicates, nulls, inconsistencies ║
║ > Summary tables & KPI dashboards for operations ║
╚══════════════════════════════════════════════════════════════╝

    04. EDUCATION & CERTIFICATIONS

    CREDENTIALINSTITUTIONPERIOD
    B.Tech – Information TechnologyNandha Engineering College2018 – 2022
    Data Science Program (Capstone)GUVI × IIT-M PravartakJun – Oct 2025
    Data Analyst AssociateEXL & EduBridgeApr – Nov 2023
    SQL & UNIX CertificationAimore TechnologiesJan – Apr 2024
    Data Analysis with PythonfreeCodeCamp✓ Certified
    Python BasicHackerRank✓ Certified
    Data Analytics Job SimulationQuantium✓ Certified

    05. GITHUB STATS

    GitHub Stats

    Top Languages

    06. INITIALIZE_COMMS

    $ ping -c 1 deepak.data_scientist
64 bytes from deepak (127.0.0.1): icmp_seq=1 ttl=64 time=0.841 ms
$ status --check
SYSTEM: OPERATIONAL [AWAITING_INPUT]
# Open for: ML collaborations · data science projects · technical discourse

    LinkedInEmailGitHub

    "Engineering precision from raw data chaos."

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