KADAMBI KASHYAP Portfolio

About

Professional with a strong background in Supply Chain and a passion for data science. Recently completed a comprehensive data science certification program, gaining expertise in machine learning, statistical analysis, and data visualization. Skilled in Python and SQL, with hands-on experience through projects and internships. Passionate about leveraging data science to solve real-world problems and drive business decisions. Eager to apply my analytical skills and industry knowledge to solve complex problems and contribute to a dynamic data science team.

Data Scientist & ML Engineer.

Birthday: 11 December 1995
Website: kadambikashyap.github.io
Phone: +91 7353882535
City: Bengaluru, India

Age: 28
Degree: Master in Industrial Engineering
Email: kadambikashyap@gmail.com
Freelance: Available

Highly motivated Entry-Level Data Scientist with a strong foundation in Machine Learning, Deep Learning, and Computer Vision algorithms. Possessing a passion for applying these techniques to solve complex problems and extract valuable insights from data. Eager to leverage my skills in a professional environment and contribute to a team-oriented setting.

Services

Data Analysis:

Extensive experience in conducting exploratory data analysis (EDA) to understand complex datasets
Proficient in utilizing advanced statistical techniques and data visualization tools like Pandas, NumPy, Seaborn, and Tableau to identify patterns and trends
Skilled in data wrangling, data cleaning, and feature engineering to prepare data for analysis
Knowledgeable in designing and implementing machine learning models to create predictive models for informed business decisions

Statistical Modeling:

Proficient in employing advanced statistical modeling techniques to derive significant insights and identify patterns within complex datasets
Skilled in conducting statistical analysis and hypothesis testing using Python
Experienced in multivariate analysis, regression analysis, and time series analysis to reveal relationships and trends in data
Expertise in experiment design to validate hypotheses and evaluate performance
Adept at statistical inference to draw meaningful conclusions and provide data-driven recommendations

Data Modeling and Dashboard Creation:

Experienced in creating complex data models to provide insights into business operations
Proficient in using data modeling tools like UML, SysML, and SQL Developer Data Modeler to design efficient data models
Experienced in developing interactive dashboards with tools like Microsoft Power BI, Tableau, and Google Data Studio
Capable of creating visually appealing and informative dashboards to aid in data-driven decision making

Data Engineering:

Specialize in designing, building, and maintaining robust data pipelines
Knowledgeable in distributed computing frameworks like Apache Hadoop and Spark
Skilled in data integration, data warehousing, and data transformation
Experienced in building scalable, fault-tolerant systems
Expertise in using cloud platforms like Amazon Web Services (AWS) and Google Cloud Platform (GCP) for data processing pipelines
Familiar with database technologies such as MySQL, PostgreSQL, and MongoDB

What most professors and peers appreciate about me:

Holistic thinking approach

Innovative ideas and approaches in making teams data literate

Being a reliable expert for knowledge, BI solutions, and dependable performance, especially in critical situations

Designing and plan BI solutions

Translating business needs into technical specifications.

Monitoring data quality

Generating and delivering quality reports to customers and performing quality assurance checks on reports.

Data visualizations

Creating and deploying reports.

Evaluating BI software

Evaluating and improving existing BI systems and Conducting troubleshooting on BI models.

Writing relational and multidimensional database queries.

Allow users to ask analytical questions related to business or market trends.

Use Data warehouse for big data

Using warehouse data to generate reports to support business decision making and business performance monitoring.

Portfolio

ALL
DATA MANAGEMENT
DATA VISUALISATION
MACHINE LEARNING AND DEEP LEARNING

Sales Data Analysis

IPL Prediction

Extracting Data with OCR

YouTube-Data-Harvesting-and-Warehousing-using-SQL-and-Streamlit

Airbnb_Visualization

Phonepe Data Visualization

Credit Score Prediction

Google-Data-Analytics-Capstone-Project

Insurance-Analytics-and-Prediction

Industrial Copper Modelling

Topic Modelling with LDA

License Plate Recognition

Resume

Download CV

Sumary

Kadambi Kashyap

A highly motivated data analyst with a strong foundation in statistical analysis, data visualization, and machine learning. Proficient in a range of programming languages and data analysis tools. Enthusiastic about communicating complex data discoveries to audiences of all technical backgrounds. Eager to continuously expand knowledge and refine skills within the ever-evolving field of data science..

Currently pursuing a certification in Data Science from GUVI (IIT-Madras),Chennai,India.
I completed my M.Sc in Industrial Engineering Specialization on Agile Factory management from Ecole Centrale de Nantes in 2020.
I completed my Bachelor of Technology in Mechanical Engineering from GITAM University in 2017.
I have worked in areas like data analysis, data visualization, statistical analysis, machine learning pipeline, natural language processing, deployment. I am detail oriented team player with fluent communication skills.
A data science enthusiast with a strong curiosity for emerging machine learning technologies. Driven to find a role that fosters continuous learning and allows them to contribute meaningfully to the advancement of the ML community.

Education

IIT-M Advanced Programming professional & Master Data Science

01/2024 - present

GUVI (IIT-M)

Relevant Coursework: Data Mining, Data Management for Analytics, Computation & Visualization, End to End Data Science projects

Masters in Sciences (Industrial Engineering - Agile Factory Management)

2018 - 2020

Ecole Centrale de Nantes

Grade: 3.4/4.0

Relevant Coursework: System Design, Data Optimisation, Algorithms, Computer Networks, Database Management, Mathematics

Professional Experience

Data Analyst Intern (Le Wagon)

Feb 2023 - Aug 2023

Nantes, 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(RGIS)

Jan 2021 - Jan 2023

Nantes, 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.