lakhan jadam

Who Am I?

Hi I'm lakhan jadamWelCome to My Portfolio !, a passionate Data Analyst with a keen interest in transforming raw data into actionable insights. My journey in the world of data analysis has equipped me with a diverse skill set and hands-on experience with various tools and technologies. This profile showcases my work and projects in the realm of data analysis and visualization.

About Me As a dedicated Data Analyst, I thrive on discovering patterns and trends within data to help businesses make informed decisions. My expertise spans across several key areas: Data Analysis: Proficient in data cleaning, processing, and statistical analysis using Python, R, and SQL. Data Visualization: Skilled in creating compelling visualizations and dashboards with tools like Tableau, Power BI, and Matplotlib. Statistical Techniques: Experienced with various statistical techniques and models to extract meaningful insights and predict future trends. Data Management: Competent in database management, including designing and querying relational databases with SQL.

Healthgrade Webscraping and Analysis Python

This project involves scraping data from Healthgrades.com to collect information on doctors, their specialties, ratings, reviews, office locations, and affiliated hospitals. Using Python libraries like BeautifulSoup and Selenium, the data is extracted, cleaned, and prepared for analysis. Key steps include performing exploratory data analysis (EDA) to identify trends in doctor ratings and specializations, and using natural language processing (NLP) for sentiment analysis of patient reviews. The project concludes by visualizing insights through dashboards, offering valuable information for healthcare providers and patients seeking healthcare services.

MNIST digit classification Machine Learning

This project focuses on using machine learning to classify handwritten digits from the MNIST dataset, which contains 70,000 grayscale images of digits (0-9). The process involves normalizing and reshaping the images for efficient training, followed by the application of algorithms like Logistic Regression, Support Vector Machines (SVM), or Neural Networks. The models are trained and evaluated using metrics such as accuracy, precision, and confusion matrix. Performance is further enhanced through hyperparameter tuning and regularization. This project showcases the core principles of supervised learning and image classification.

Customer Behaviour Analysis Excel,PowerBi

This project focuses on analyzing customer behavior using Excel and Power BI to uncover trends and insights. Data is first organized and cleaned in Excel, where basic statistical analysis and pivot tables are used to summarize customer demographics, purchasing patterns, and preferences. The cleaned data is then imported into Power BI for deeper analysis and visualization. In Power BI, interactive dashboards are created to track key metrics like purchase frequency, average order value, and customer segmentation. These visualizations help identify patterns in customer behavior, providing actionable insights for improving marketing strategies and enhancing customer engagement.

Customer Churn Analysis Excel

Customer churn analysis in Excel involves using data like transaction history and service usage to identify patterns of customer loss. With tools such as pivot tables, charts, and formulas, businesses can visualize trends and pinpoint factors driving churn. Excel enables efficient segmentation and analysis, helping companies improve retention strategies and reduce churn rates.

Car24 Sales and Market Trend Analysis SQL,PowerBi

The Car24 Sales and Market Trend Analysis project involves utilizing SQL for data extraction and Power BI for data visualization to assess sales performance and market trends. In SQL, relevant sales data, such as vehicle models, customer demographics, sales volumes, and regional performance, are queried from a database. This data is then cleaned and transformed to ensure accuracy. Power BI is used to create dynamic dashboards and visualizations, such as sales trend graphs, market segmentation, and geographical performance heatmaps. The analysis helps identify top-performing car models, seasonal sales patterns, and customer preferences, allowing Car24 to make data-driven decisions and optimize sales strategies.

Hi! I'm Lakhan

Data scientist

"A passion for solving real-world problems through data analytics"

I am a Data Scientist

Welcome to my portfolio

Who Am I?

Data Analysis

Web Scraping

Machine Learning

I am happy to know you that around 10 projects done sucessfully!

Here are some of my expertise

Web Scrapping

Python

Machine Learning

PowerBi

SQL

Excel

My Skills

Python

PowerBi

SQL

Excel

Education

My Projects

Healthgrade Webscraping and Analysis Python

MNIST digit classification Machine Learning

Customer Behaviour Analysis Excel,PowerBi

Customer Churn Analysis Excel

Car24 Sales and Market Trend Analysis SQL,PowerBi

Recent Work

dashboards and Reports

dashboards and Reports

My Certificates

Contact

Hi!
I'm Lakhan

I am
a Data Scientist

I am happy to know you
that around 10 projects done sucessfully!