Mihir Tanksale

Aspiring ML Engineer | PG level advanced certification in Computational Data Science from IISC Bangalore | Senior Software Engineer at LTIMindtree

Mihir Mahesh Tanksale
Senior Software Engineer

Summary:
I am a highly skilled software engineer with a strong background in data science and a passion for innovation. With an Advanced Certification in Computational Data Science from IISC Bangalore and a BTech in Computer Science, I bring a solid foundation in both theory and practical application. I have a proven track record of successfully delivering complex projects, leveraging my expertise in J2EE development, database optimization, and microservices architecture. My keen interest lies in utilizing data science techniques to derive valuable insights and drive data-based decision-making. As a self-motivated and adaptable professional, I thrive in collaborative environments and excel in Agile/Scrum methodologies. I am now seeking new opportunities in which I can contribute my skills and knowledge to solve challenging problems and make a significant impact. Let's connect and explore how we can collaborate to drive innovation in the software engineering and data science realms.

Education:
- Advanced Certification in Computational Data Science,
 Indian Institute of Sciences (IISC) Bangalore
 - A Grade (88%)
 - 01/2022 – 04/2023

- BTech in Computer Science,
 Vishwakarma Institute of Technology (VIT) Pune
 - First Class
 - 2016 – 2020

Professional Experience:
Software Engineer, LTIMindtree, Pune
- Key contributor to multiple successful releases in the MRMS project for Citi, ensuring alignment between technical solutions and business objectives.
- Developed J2EE applications adhering to industry best practices and design patterns.
- Designed and optimized database schemas, wrote efficient SQL queries, and utilized ORM frameworks like Hibernate.
- Implemented microservices architecture for enhanced scalability and flexibility.
- Conducted JUnit testing and integrated REST web services for seamless communication with external systems.
- Collaborated in Agile/Scrum development, attending stand-ups, planning, and retrospective meetings.
- Assisted in system testing and provided post-implementation support.
- Deployed and managed applications on IBM WebSphere.
- 07/2020 – Present

Software Engineering Intern, L&T Infotech, Pune
- Completed an Android development internship, gaining hands-on experience in mobile app development.
- Collaborated with the development team to design and implement Android applications.
- Implemented Android best practices and coding standards to ensure high-quality code.
- Developed user-friendly interfaces using XML and Java, integrated third-party libraries and APIs.
- Conducted testing, debugging, and assisted in deployment and release of Android applications.
- Actively participated in team meetings, code reviews, and project discussions.
- 01/2020 – 06/2020

Skills:
- Database: MySQL, Oracle
- Programming Languages: Python, Java, C++, JavaScript, CSS, PHP
- Markup Languages: XML, HTML5
- Data Visualization: Matplotlib, Power BI, Google Data Studio, ggplot2, Plotly, Highcharts
- Methodology: Agile/Scrum, Git, Bitbucket, Jira, Trello, Confluence
- Frameworks: Laravel, Bootstrap, Angular, Spring Framework
- Data Science: Jupiter Notebook, Google Colab, IBM Watson, Amazon SageMaker, Anaconda
- Statistics: Regression analysis, Statistical modeling, Bayesian statistics, Multivariate analysis, NumPy, SciPy, StatsModels

Projects:
1. GAN-based Virtual Try-On for Clothes
  - Developed a computer vision-based system for accurate size detection and virtual try-on.
  - Integrated image recognition and virtual try-on technology for interactive user experience.

2. Emotion Classification from Speech
  - Conducted exploratory data analysis, feature extraction, and employed voting classifier for emotion recognition.

3. Employee Attrition Prediction
  - Explored HR dataset, performed outlier detection, and utilized CatBoost and XGBoost for attrition prediction.

4. Customer Segmentation and Clustering
  - Preprocessed and scaled data, employed k-means and DBSCAN clustering techniques for data grouping.

5. Sentiment Analysis of WhatsApp Group using R
  - Developed sentiment analysis project in R for WhatsApp conversations, generated visual insights and sentiment dynamics.

6. Natural Language to SQL Conversion using Python
  - Created a system to convert the natural language to SQL queries using TableQA library, and enhanced data exploration through visualizations.

References are available upon request.
 

Education:
- Advanced Certification in Computational Data Science,
 Indian Institute of Sciences (IISC) Bangalore
 - A Grade (88%)
 - 01/2022 – 04/2023

- BTech in Computer Science,
 Vishwakarma Institute of Technology (VIT) Pune
 - First Class
 - 2016 – 2020