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About Me

Technical Skills

  • Programming: Python, SQL

  • Data Visualization: Matplotlib (Python library), Seaborn (Python library), Power BI, MS Excel

  • Data Manipulation and Analysis: Pandas (Python library), NumPy (Python library)

  • Statistical Analysis: Descriptive statistics, Inferential statistics, Hypothesis testing, Probability distributions and Bayesian statistics

  • Machine Learning: Supervised Learning - Regression (linear, logistic), classification (decision trees, random forests, SVM), ensemble methods (gradient boosting, bagging), Unsupervised Learning - Clustering (K-means, hierarchical clustering), dimensionality reduction (PCA, t-SNE), association rule learning, Deep Learning -  Neural networks, CNNs, RNNs, TensorFlow, PyTorch.

  • Time Series Analysis: Forecasting techniques (ARIMA, SARIMA, Prophet), Anomaly detection, seasonality, trend analysis.

  • Natural Language Processing (NLP): Text preprocessing, tokenization, stemming, lemmatization, Named Entity Recognition (NER), sentiment analysis, topic modeling.

  • Excel: Data Cleaning and manipulation, Pivot tables and charts, Power Pivot, Power Query, Macros

  • Statistical Modelling: Predictive Analysis, Forecasting

  • Tools: Jupyter Notebook, MySQL, Azure, Google Data Studio, MS Office, CRM Software’s

  • Medium
  • GitHub
  • LinkedIn
Education

Post Graduation Diploma in Data Science and Artificial Intelligence (with fellowship) |  Accredian | 2021 - 2023

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Bachelors of Engineering  in Computer Science | Pune University | 2016 - 2019

 

Diploma in Computer Science Engineering | Maharashtra  State Board of Technical Education | 2013 - 2016 

Work Experience 

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Fortune Cloud Technologies| Data Science Trainer |2024 

  • Designed and delivered comprehensive training programs on data science concepts, tools, and techniques.

  • Mentored and guided students on machine learning, data preprocessing, and advanced analytics projects.

  • Developed interactive course materials and hands-on exercises to facilitate practical learning.

  • Evaluated student performance through assessments, providing personalized feedback and improvement plans.

  • Collaborated with cross-functional teams to enhance training curricula and align with industry trends.

 

Edu-Versity| AI-ML-Data Science Mentor | 2024

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  • Providing mentorship and training to students or junior data scientists in AI and machine learning concepts.

  • Creating comprehensive learning paths and project-based learning experiences.

  • Overseeing student or trainee projects, offering guidance and feedback throughout the development process.

  • Helping troubleshoot and solve technical issues related to AI and machine learning projects.

  • Sharing insights and knowledge about emerging tools, techniques, and methodologies.

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Amazon | Associate Business | 2019 - 2023 

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  • Generated detailed reports and dashboards to support data-driven decision-making.

  • Managed client accounts, ensuring seamless communication and timely resolution of client queries.

  • Analyzed large datasets to uncover business insights, enabling process optimization and strategic planning.

  • Tracked and evaluated key performance metrics, providing actionable recommendations to stakeholders.

  • Collaborated with cross-functional teams to implement data-backed solutions and improve operational efficiency.

 

Pamas Technologies | Data Analyst - Freelancer | 2022 - 2023

  • Data Analysis and Interpretation: Conducted in-depth data analysis, extracting meaningful insights from raw data, and interpreted trends and patterns to support strategic decision making.

  • Customized Reporting: Tailored reports and dashboards to meet specific client needs, ensuring relevant and actionable information delivery.

  • Collaborative Approach: Collaborated effectively with cross-functional teams, gathering requirements, and translating business needs into data-driven solutions.

  • Continuous Improvement: Proactively identified areas for process improvement, refining data collection methods, and enhancing reporting tools for more proficient and comprehensive analysis.

  •  Client Engagement: Fostered strong client relationships through clear communication and delivering reports that provided valuable insights, fostering trust and client satisfaction.

Certifications 

Google Cloud Introduction to Generative AI 

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Google Cloud Introduction to Large Language Models

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Post Graduation Diploma in Data Science and Artificial Intelligence 


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