I am a seasoned Data Scientist/Analyst with a rich experience spanning two years in the field. Over the past year, I have proudly contributed my skills and expertise to the dynamic teams of both Data Science (Personalisation - ML) and Data Engineering at McAfee. My journey has been marked by a relentless pursuit of excellence and a passion for transforming data into meaningful, concrete insights.

My proficiency in SQL, Python, Spark, my ability to figure out a way around blockers on the go, and my decisiveness with sound reasoning has been the cornerstone of my success, enabling me to extract, analyze, and interpret data with precision. My adeptness in these tools has empowered me to spearhead feature engineering projects, playing a pivotal role in enhancing the value of data and optimizing its use for strategic decision-making.

One of my significant accomplishments includes being a key contributor to the establishment of a feature store at McAfee. 
As we all know, from start to end, 70% of time in most Machine Learning projects is spent on finding out correct POCs within the company, communicating with them to acquiring the correct data and also understanding it, predicting probable metrics to be obtained from it, and then performing the pre-processing. 
Developing a feature store involved a lot of Feature Engineering, gaining close familiarity with the raw data, understanding the business and performing a lot of SQL intricacies, not to forget a lot of internal communication. The objective was to cut down on the preprocessing time and provide Data Scientists 
with data they could rapidly build prototypes upon without having to worry about the entire logistics of how it came to be. The nature of this 'pre-processed' data was that it could support a lot of Data Science efforts, since this data captured the essential behavior of our customers. 

This innovative solution has not only streamlined workflows but has also facilitated the acceleration of data-driven innovation within the organization.

Motivated by my unwavering commitment to continuous growth and a thirst for knowledge, I am eager to expand my horizons into the realms of Data Engineering and Data Science. Drawing upon my foundation in analytics and my proficiency in key technologies, I am excited to take on new challenges and leverage my skill set to drive transformative insights and solutions.

In essence, my journey reflects a fusion of experience, technical prowess, and an unrelenting desire to create value from data.

Sidharth Kriplani

Varroc

** Battery Prognostics Project: A project focused on battery prognostics was spearheaded, with advanced machine learning techniques employed to predict battery life and performance. This contributed to enhanced reliability and efficiency in battery management systems.

** Plant Data Analysis: In-depth data analysis for manufacturing plants was conducted, uncovering key patterns and insights that directly led to process optimisations and operational enhancements.

** Internal Projects Delivery: The internal project was successfully delivered, showcasing effective collaboration with cross-functional teams. Collective efforts ensured timely, high-quality outcomes that were perfectly aligned with company objectives.

** Research and Conferences: A review paper on "Study of Derived Battery Features for Real-Time Estimation of SOH and RUL of EV Battery Using Data Analysis" was published.

** Continuous Learning and Development: My skill set was enhanced through continuous learning and the implementation of new tools and technologies. This dedication keeps me abreast of the latest advancements in machine learning and data science, empowering my drive for innovation and efficiency in projects.

CoC Engineer

** The transition from an Intern ML Engineer role to a full-time Post Graduate Engineer Trainee (PGET) role focusing on Machine Learning was completed.

** Close collaboration with cross-functional teams was established to contribute to the development and deployment of cutting-edge machine-learning models and solutions.

** Significant contributions were made to various projects, leveraging advanced machine-learning techniques to address complex problems and optimise processes.

** Continuous learning and professional development were prioritised, ensuring that the latest industry trends and technologies were integrated into the work.

** The role involved active participation in team meetings, brainstorming sessions, and project planning, enhancing the team's overall effectiveness and efficiency.

Post Graduat Engineer Trainee

** Automotive ML Algorithm R&D:**
- Research and development of automotive machine learning algorithms were undertaken.
- Advanced techniques and methodologies were employed to innovate and enhance automotive ML applications.

** Data Preprocessing, Feature Engineering, Selection, and Extraction:**
- Data preprocessing, feature engineering, selection, and extraction from raw data were performed.
- Techniques were applied to ensure high-quality and relevant data for model training and analysis.

** ITPMS Implementation on Bikes:**
- The implementation of Intelligent Tire Pressure Monitoring Systems (ITPMS) on bikes was worked on.
- Cutting-edge solutions were developed to enhance the safety and efficiency of bike operations.

** Battery Prognostics of EVs:**
- Work on the battery prognostics of electric vehicles (EVs) was conducted.
- Predictive models and techniques were developed to estimate battery health and longevity.

** Feature Extraction Through Literature Survey:**
- Feature extraction was performed through comprehensive literature surveys.
- Relevant features were identified and integrated into models to improve accuracy and performance.

Intern ML Engineer

TCR Innovation

TCR Innovation focuses on industrial training and offer Internship Programs where you can learn the in-demand professional skills to advance your career in AI, ML, Data Science, Digital Marketing, Python, Java, SQL & more.

Data Science Intern

Samarth Engineering, Shivane

# Responsibilities
• Develop, configure, and optimize plant manufacturing processes from inception to pilot start-up launch and commercialization.
• Assess and evaluate processing, taking measurements of specific variable metrics to interpret data and make assumptions about process efficiency and effectiveness.
• Develop best practices, routines, and innovative solutions to boost production rates and output quality.
• Manage expenses and personal constraints by using Six Sigma Lean Manufacturing Principles.
• Design process documentation, operating instructions, and product manufacturing specification manuals
• Prepare target vs actual comparisons.
• Review the KPI monitoring system once a quarter to check the performance outcomes of team members in the division.

# Accomplishment
• To process production orders smoothly, they spearheaded a project on the fixture management system, so the productivity increased by 15% using CAM techniques.
• Provide ongoing technical support to company members, offering my superior engineering knowledge and helping the company meet and exceed goals.
• Conduct prototype and pilot testing following lean manufacturing principles.

Intern Process Engineer

Sushilkumar Industries, Kolhapur

Engineering Trainee

About Me

🌟 Dynamic Professional: Seamlessly integrating expertise in both Data Science and Mechanical Engineering to drive innovation and efficiency.

📊 Data Science Mastery: Proven track record in machine learning, statistical data analysis, and AI algorithms, with a strong foundation from the Great Lakes Institute of Management.

🔧 Engineering Excellence: Solid background in mechanical engineering with a top-tier CGPA of 9.71 in M.Tech and hands-on process optimization experience at Samarth Engineering.

🚀 Industry Impact: Boosted productivity by 15% through CAM techniques and played a pivotal role in R&D, contributing to advanced ML models at Varroc.

💡 Cross-functional Collaborator: Adept at working across teams, enhancing cross-disciplinary projects with innovative solutions and state-of-the-art machine learning models.

📈 Leadership & Management: Cultivated leadership and strategic management skills, evidenced by academic pursuits at Welingkar Institute of Management and MITWPU.

👁️ Eye on Innovation: Passion for staying ahead of the curve through continuous learning and applying cutting-edge techniques to real-world problems.

✨ Connect & Collaborate: Eager to join forces with forward-thinking teams to challenge the status quo and make a lasting impact in the field of data science and engineering.

taplio

The Battle

Sidharth Kriplani

Kapilraj R. Nangare

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