About me

Results-driven Software Developer with a strong foundation in machine learning, data engineering, and software development. Proficient in designing and deploying scalable applications, building end-to-end ETL pipelines, and integrating machine learning models into software solutions to deliver actionable insights.

Adept at leveraging cloud technologies, including AWS and GCP, to develop and deploy high-performance, resilient applications. Demonstrates expertise in Agile methodologies, version control systems, and CI/CD pipelines to ensure efficient development workflows. Passionate about creating innovative solutions that enhance business processes and user experiences while staying at the forefront of technological advancements.

What I'm doing

  • design icon

    Machine Learning

    Crafting intelligent algorithms that learn from data, from neural networks to evolutionary computation, transforming complex patterns into actionable insights.

  • Web development icon

    Software Development

    Building elegant, scalable applications with modern frameworks and clean code practices that balance performance, maintainability, and user experience.

  • data engineering icon

    Data Engineering

    Designing robust ETL pipelines and data architectures using cloud technologies to ensure reliable, efficient data flows that power analytics and ML systems.

  • research icon

    Medical AI Research

    Pioneering computational approaches to decode biological mechanisms, with a focus on peptide splicing for advancing immunology and drug development.

Certifications

  • Introduction To Gen AI (Beginner, Advanced)

    Google

  • Professional Data Science Certificate

    Board Infinity

  • Computation Thinking using Python

    MIT 6.00.2x

  • Building Deep Learning Models with TensorFlow

    Google

  • Introduction to Machine Learning

    IBM

  • Python Data Structure and Algorithms

    Coding Ninjas

Resume

Download CV

Education

  1. MASTER'S IN DATA SCIENCE | Deakin University, Melbourne, Australia

    2023 — Present | Distinction

    Relevant Coursework: Database Management Systems, Object Oriented Programming, Machine Learning, Deep Learning, Bayesian Learning and Graphical Models, Statistical Data Analytics, Data Security Computer Organization, Web development.

  2. BTECH IN CIVIL ENGINEERING (dual degree with Minor in CSE) | RCOEM, Nagpur, India

    2019 — 2023 | 8.0 CGPA

    Relevant Coursework: Data Structure And Algorithm, Artificial Intelligence, Software Engineering Project Management, Machine Learning, Data Analytics.

  3. HIGHER SECONDARY (CLASS XII) | GH Raisoni Vidyaniketan, Nagpur, India

    2018 — 2019 | 76.00%

    Achieved 76.00% in Higher Secondary education.

  4. MATRICULATION (CLASS X) | Kendriya Vidhyalaya Vayusena Nagar, Nagpur

    2017 — 2018 | 9.2 CGPA

    Achieved 9.2 CGPA in Matriculation.

Experience

  1. DATA ENGINEER INTERN | The Salvation Army, Melbourne, Australia

    Sep 2024 - Present

    • Designed and deployed cloud-native ELT pipelines using Azure Data Factory, orchestrating ingestion, transformation, and loading of structured data into Azure SQL Database and Data Lake Storage Gen2.
    • Implemented data modeling and schema standardization workflows in Python (pandas, NumPy) and T-SQL, harmonizing 8,000+ product records from suppliers by applying mapping dictionaries, classification rules, and data integrity checks.
    • Developed robust star schema models with fact and dimension tables optimized for BI workloads, using indexing, partitioning, and incremental loading to support performant analytics queries.
    • Created and published interactive dashboards in Tableau to visualize procurement KPIs such as unit cost variance, supplier compliance, and category-level savings, empowering procurement and finance teams with real-time insights.

  2. MACHINE LEARNING RESEARCHER | BizFlash, Melbourne, Australia

    Dec 2024 - Feb 2025

    • Developed and implemented contextual bandit models using Reinforcement Learning (RL) to provide personalised Action Insights, optimising user engagement by balancing exploration and exploitation strategies.
    • Designed dynamic decision-making processes with Upper Confidence Bound (UCB) methods, continually refining model predictions based on real-time user feedback and evolving business contexts.

  3. DATA SCIENCE INTERN | One Percent, Bangalore, India

    Sep 2022 - Dec 2022

    • Extracted and processed 10,000+ data points from educational websites using Python, achieving 95 percent extraction accuracy and 97 percent model accuracy with machine learning algorithms.

  4. DATA ANALYST INTERN | Flipspaces, Mumbai, India

    May 2022 - Aug 2022

    • Analyzed large datasets with SQL and Tableau, enhancing data accuracy by 20 percent and reducing report time by 30 percent.
    • Boosted user engagement by 15 percent through customer behavior analysis; increased project efficiency by 25 percent with market analysis and vendor evaluation.

Research Experience

  1. Decoding The Rules Of Proteasome-Catalyzed Peptide Splicing (Medical AI) | Monash University, Melbourne

    Feb 2025 - Ongoing

    • Engineered an end-to-end ML pipeline leveraging feature engineering on protein sequences, including amino acid embeddings, junction site encoding (P1-P1'), secondary structure predictions, and post-translational modification features; applied dimensionality reduction (PCA, t-SNE) to identify latent splicing determinants across 229K+ peptide instances.
    • Developed and optimized supervised classification models (Random Forest, SVM, Logistic Regression) for splice-site prediction, integrating cross-validation, hyperparameter tuning, and SHAP explainability to quantify feature importance and improve biological interpretability of splicing mechanisms.
    • Performed rigorous statistical hypothesis testing and cluster analysis on splice-type distributions, correlating motif occurrences and structural propensities with splicing efficiency; generated advanced visualizations (heatmaps, violin plots) for comprehensive model diagnostics and mechanistic insights.

Achievements

  • Machine Learning Internship Certificate

    Awarded with a certificate for the Machine Learning Internship by VERZEO Bangalore organized during Techfest IIT HYDERABAD.

  • Data Science Bowl Participation

    Developed an SVM-based breast cancer prediction model using the Wisconsin Diagnostic Database.

  • First Position - Innovation Idea Contest

    Secured first position in Innovation Idea Contest held during TechSpardha(Avishkar) at Government College Of Engineering Nagpur.

  • Debate and Extempore Competitions

    Participated in multiple Debate and Extempore Competitions held in college.

My skills

  • Programming Languages

    C/C++, Python, Scala, Java, SQL, JavaScript, Assembly, HTML/CSS, Octave/Matlab

  • Cloud & Big Data

    Azure Data Factory, AWS, GCP, Snowflake, Google BigQuery, Apache Beam, CloudFormation, Vertex AI

  • Data Science & ML Tools

    Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, Apache Spark MLlib, OpenCV, NLTK, BERT, Transformers

  • ML/NLP Frameworks

    LangChain, Ollama, OpenAI API, FastAPI, spaCy, ANTLR4, Deep Learning, Gen AI, Computer Vision

  • Advanced ML Concepts

    Federated Learning, Reinforcement Learning (PPO), RAG, Multi-modal Systems, LLM Integration, Prompt Engineering, Semantic Search, Autoencoders, Transformer Architectures

  • DevOps & Development

    Git, CI/CD pipelines, Visual Studio, IntelliJ

  • Professional Skills

    Strategic Thinking, Data Analysis, Effective Communication, Resource Management, Creative Problem-Solving, Distributed Systems, Product Engineering

Portfolio

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