YOUR DATA GUY FOR THE JOB
Crafting meaningful data stories through analysis, visualization, and modeling for actionable insights.
ABOUT
I am Tejas Milind Kulkarni, a dedicated Data Scientist, google certified Data Analyst based in the SF Bay Area, California. With a Master’s in Business Analytics from California State University East Bay and a background in Engineering Information Technology from Pune University, I bring a blend of technical expertise and analytical acumen to every project. Proficient in SQL, R, Python, and Tableau, I thrive on unraveling insights from complex datasets to drive informed decision-making. From predictive modeling to insightful visualizations, I am passionate about transforming raw data into actionable insights that propel organizational growth. With a track record of leading projects and collaborating across diverse teams, I am committed to delivering innovative solutions and driving positive change through data-driven strategies. Let’s embark on a journey of exploration and discovery, harnessing the power of data to unlock new possibilities and drive success together.
EDUCATION & EXPERIENCE
Relevant Courses: Statistics, Data Analytics, Data Mining, Operations Analytics, Data Warehousing & BI, marketing Analytics, Database Management.
Database Management System, Cloud Computing, Internet of things, Data Structures, Operating Systems
Delivered specialized tutoring to 200+ specially challenged students, focusing on advanced topics including Regression, classification models, DNN, data cleaning and manipulation techniques, ETL, EDA, SQL, and creating dashboards using Tableau. Demonstrated expertise in explaining intricate concepts of supervised and unsupervised learning.
Analyze order and customer data using Tableau, resulting in a 20% increase in order fulfillment efficiency
• Utilized Excel and Python for exploratory data analysis (EDA), leading to a 15% reduction in carrying costs
through improved inventory management..
Projects
Client faced project where we performed data mining to understand 9 months of sales data to understand what KPIs the board should focus to maintain profitability and other KPIS to focus to increase profitability Analyzed time series data for fiscal year 2022 of a hotel and restaurant to understand how the business is working. Negotiated and gathered client requirements..
Executed an in-depth data analysis project, leveraging fundamental principles of SQL Views, aggregate functions, and nested select statements to scrutinize Covid-19 mortality rates across regions and continents. The analysis encompassed comparing infection rates and mortality rates with population data. Additionally, delved into vaccination data using analogous parameters for a comprehensive assessment.
Predicting sales for 75 companies, having economic indicators, with information of companies like inventory ratio, bond rating etc. Performed EDA, data cleaning to understand data more. Incorporated feature selection processes to understand best features for predictions. Modeled the data with random forest regressor, Regression, Xgboost and LSTM. Currently working on this project.
Crafted user-friendly and easily interpretable dashboards tailored for individuals in the data science field. These dashboards provide insights into the ideal markets to apply for jobs, the sizes of companies hiring, global job prospects for data science roles, the required experience for various job positions, employment types, and average salaries by title. These visualizations simplify decision-making processes regarding when and where to apply for specific positions.
Built a neural network model for fraud detection in car insurance company. Performed Data cleaning and prepared data for Exploratory Data Analysis(EDA). Visualized data for better understanding of the data. Made correlation matrix to understand how all features interact with each other. Built a basic ML model and then built a NN model on top of that with 94% accuracy.
Constructed a user-friendly dashboard presenting daily sales averages, a heat map showcasing sales distribution, house price distribution, and graphs depicting bedroom and bathroom distribution. These visualizations empower individuals in the county to make informed decisions about purchases, optimal buying times, and strategic sales.
Skills
Python, R, Java,
Tableau, Power BI, Microsoft Excel.
MySQL, NoSQL, Apache Hadoop, Spark, Amazon redshift, Google Big Query, MongoDB
NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Kera’s, TensorFlow, PyTorch.
Let’s chart the course forward, transforming data into opportunity and shaping tomorrow’s success, one insight at a time.
Available to connect Monday to Friday 9 AM – 5 PM.
Click to schedule a meet.