Saurabh Kolambkar

About Saurabh Kolambkar

Looking for a challenging career which requires me to make the best use of my technical, analytical and interpersonal skills while consistently adding value to the team and organization that I would work for. I am a fresher with hands-on, agile and result-oriented Data Analyst. Skilled in Python, SQL and leveraging Machine Learning Algorithms to turn cutting-edge technologies into actionable insights. My passion for Data Science comes from my love and natural development in my mathematical captivation. I enjoy questioning the existing processes and assumptions for the purpose of developing additional methods and analytical algorithms. I am an avid believer in power of consistent improvement and I wake up with a goal of learning something new everyday. My skill-sets include: • Programming: SQL (Advanced), Python (Advanced)[Pandas | Numpy | Scikit-Learn | Matplotlib], • Machine Learning Algorithms: Decision Tree, Regression and Classification, Neural Network, Ensemble Techniques, SVMs, Bayesian Learning • Statistical Techniques: Regression Analysis, Time Series Forecasting, Hypothesis Testing, A/B Testing • Applications & Databases: Tableau, Microsoft Office Suite, GitHub, MySQL. My core competencies include: • Data Mining • Data Engineering • Machine Learning • Natural Language Processing • Data Analysis • Data Visualization “Arise, awake, and stop not till the goal is reached.” - Swami Vivekananda

Experience

1. SAP Bo Bw Consultant

   Kansai Nerolac Paints Ltd

   Aug 2020 — Present · Mumbai, IN

   Manufacturing Process Analytics:Dec 2022: Collaborated with teams to identify KPIs and data requirements. Developed reports and dashboards in SAP BO for process analysis, improving production rates, quality metrics, and equipment performance. Enhanced report processing efficiency and generated actionable insights, optimizing resource allocation and reducing waste.2. Employee Performance Auditing System:Mar 2022: Created automated reports, reducing generation time by 50%. Improved data accuracy by 25% and identified weaknesses for a 20% performance improvement. Monthly reports enabled evaluation against targets with a 30% increase in data visibility. Widely adopted, leading to 40% accuracy improvement and informed decision-making.3. Automating daily and monthly reports:Mar-Aug 2022: Implemented backtracking logic and query restrictions, reducing report generation time by 30% and manual intervention by 50%. Saved 10 hours/month on month-beginning activities and streamlined reporting process, saving 20% of team members\' time for strategic tasks.4. Supply Chain Procurement Dashboard:Dec 2022: Led end-to-end development of SAP BO dashboard. Gathered requirements and designed reports for key procurement metrics. Empowered stakeholders with actionable insights, optimizing strategies and improving supply chain efficiency. Streamlined processes with real-time data for proactive decision-making and reduced lead times.

Education

• A. P. Shah Institute of Technology, Thane

  Bachelor's degree

  2016 — 2019

• Vidyalankar Institute of Technology, Mumbai

  Diploma In Computer Engineering

  2013 — 2016