Headline

Aspiring Data Scientist | Data Analyst | Driving Data Efficiency & Business Insights | Committed to Continuous Learning

About

🚀 Passionate Data Science Enthusiast | Entry-Level Professional 🌐 https://www.linkedin.com/in/kadambikashyap/ 🔍 About Me: Eager to embark on a data-driven journey, I am a dedicated and enthusiastic individual with a keen interest in the dynamic field of data science. My academic background in Industrial Engineering has equipped me with a solid foundation in statistical analysis, machine learning, and data visualization. 💡 Skills: Data Analysis Machine Learning Python/R Programming Statistical Modeling Data Visualization (Matplotlib, Seaborn) SQL and Database Management Problem-Solving 🔧 Tools: Proficient in leveraging tools such as: Python (NumPy, Pandas, Scikit-Learn) R SQL Tableau Jupyter Notebooks 📚 Education: - Ecole centrale de Nantes - Master Industrial Engineering - Agile Factory Management 2020 🛠️ Projects: Power BI Analyst Virtual Internship : - Conducted self-reflection to evaluate skills and identify areas for improvement as a data analyst. - Developed visually appealing Power BI dashboards to present data effectively and engage stakeholders. - Defined Key Performance Indicators (KPIs) in collaboration with the team to align with organizational goals. - Leveraged Power BI to derive insightful insights, enabling informed decision-making and actionable outcomes. - Calculated measures using statistical functions and formulas within Power BI to evaluate performance and track progress. Google Capstone Project (Divvy-Cyclistic bike-share) - Carried out the data cleaning, and manipulation for the given dataset of the project. - Analyzed the data using Rstudio, and MS Excel. - Created the Tableau reports for further analysis. - Created a repository on Github, more details: https://github.com/KadambiKashyap/Google-Data-Analytics-CapstoneProject 📆 Looking for Opportunities: Excited about contributing my skills to real-world challenges, I am actively seeking entry-level opportunities in data science. Open to collaborations, mentorship, and continuous learning! 🌟 Let's Connect: I am always enthusiastic about connecting with fellow data science enthusiasts, professionals, and mentors. Let's connect and explore the endless possibilities of data together! #DataScience #MachineLearning #Python #DataAnalysis #SQL #DataVisualization

Location

Bengaluru

AI stack

claude code

claude

github copilot

mcp

openai

Supabase

Work experience

Data Analyst at BrightCHAMPS, Jul 2024 - Present · 2 yrs 4 mos, Bengaluru, Karnataka, India, • Developed and maintained over 10 ETL pipelines, improving data processing efficiency. • Migrated data infrastructure from Redshift to PostgreSQL, reducing query latency by 40% and increasing system reliability. • Built and enhanced dashboards based on the new PostgreSQL system, resulting in increase in data accessibility for stakeholders. • Automated financial reporting through Python scripts, streamlining cost and P&L management and reducing manual effort by 100%. • Identified and resolved data irregularities, improving data accuracy by 98% across multiple sources.

Power BI Analyst Virtual Internship at PwC Switzerland, May 2023 - Jul 2023 · 3 mos, Switzerland

Data Analyst at Le Wagon, Dec 2022 - Nov 2023 · 1 yr, Nantes, Pays de la Loire, France, • Developed and optimized a highly efficient data pipeline using Python and SQL, resulting in a 40% reduction in data processing time and allowing for real-time analysis and decision-making. • Engineered 3 interactive dashboards and 12 KPIs using Power BI, resulting in a 20% increase in data-driven decision-making and a 15% increase in project growth. • Leveraged advanced data analytics techniques to identify key customer segments and develop highly targeted marketing campaigns, resulting in a 15% increase in revenue. • Fostered a culture of data-driven decision-making by effectively communicating findings and recommendations, leading to a 15% increase in successful project outcomes.

Inventory Supervisor at RGIS - France, Jan 2021 - Oct 2022 · 1 yr 10 mos, Nantes, Pays de la Loire, France, • Orchestrated seamless data flow from root-level systems to enhance database integrity, facilitating efficient decision-making for clients • Executed regular inventory cycles, consistently achieving an accuracy rate of over 96%, contributing to precise stock-level insights for strategic planning. • Spearheaded inventory management and auditing processes, resulting in a 15% reduction in discrepancies and ensuring optimal stock conditions, thereby enhancing client satisfaction. • Acted as a liaison between clients and internal teams, providing actionable insights and recommendations based on data analysis, and fostering long-term partnerships and trust.

Research Intern at Ecole centrale de Nantes, Mar 2020 - Dec 2020 · 10 mos, Nantes, Pays de la Loire, France, Development of a serious game for multi-levels training and education in Additive Manufacturing • Proposed 3 different types of serious games for training in Additive manufacturing for different age groups ( LEGO Game, CLAY BUILD, VR applications). • Serious Games are designed with the main goal of creating an educational or skill development context for the students & Professionals. • Employing serious games into the field of Additive manufacturing helped to resolve the requirement to train the workforce as well as the students in the universities. • Young students and children have learnt the concepts of Additive manufacturing through proposed serious games.

Education

Master Data Science Program, GUVI Geek Networks, IIT-M Research Park

Master Industrial Engineering - Agile Factory Management, Centrale Nantes

Public links

kadambikashyap.netlify.app: https://kadambikashyap.netlify.app/