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Name: Archana Kokate

Type: User

Location: Germany

Hey there, i'm Archana

👩‍💻 About Me :

I'm certified Data Scientist ready to dive into thrilling new ventures. With a solid foundation in Data Science and Analytics, my expertise spans across a wide array of skills, including SQL, Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), and AWS Cloud. In addition, I excel in creating interactive dashboards and insightful visualizations using PowerBI and Tableau.

From Data Wrangling, Exploratory Data Analysis, and Feature Engineering to Model Building and Deployment, I'm equipped to tackle any data challenge. Proficient in implementing and fine-tuning various Machine Learning algorithms, I have experience in delivering meaningful insights and actionable solutions through advanced ML techniques.

With a track record spanning organizations like Omdena, Prodigy InfoTech, LetsGrowMore, Wipro, and eClerx, I've consistently delivered valuable insights and solutions while driving operational excellence and fostering collaboration. My demonstrated leadership and management skills underscore my ability to excel across diverse roles, ensuring seamless operations and effective teamwork.

Dive in and explore my portfolio to see how I've transformed unstructured data into invaluable insights! Let's connect and explore opportunities to collaborate on impactful projects together!

📫 How to reach me:

📧: [email protected]

🛠️ Languages and Tools :

🔥 My Stats :

Archana Kokate's Projects

311_nyc_customer-request-analysis

Analysis of New York City - 311 calls focusing on the Data Wrangling techniques to understand the pattern in the data and also Visualizing the major complaint types.

adidas_us_sales_analysis_powerbi

Analysis of Adidas Sales in US for year 2020-2021 using PowerBI

archanakokate

archanakokate.github.io

bank_term_deposit_prediction

Build a Decision Tree classifier to predict if the client will subscribe to a Term Deposit based on their demographic and behavioral data.

data-in-motion-weekly-pandas-challenge

My submissions in weekly Pandas challenges organized by Data In Motion ,LLC (Community). LinkedIn :https://www.linkedin.com/company/data-in-motion-llc/

diabetes_prediction_capstoneproject

Analyzing and Modelling National Institute of Diabetes(NIDDK) dataset for accurate prediction of Diabetes in Patients, with Tableau dashboard visualization.

eda_amazon_products_and_discounts_2023

Exploratory Data Analysis (EDA) on Amazon's 2023 Products and Discounts data

exploratory_data_analysis_global-terrorism_using_tableau

Using Tableau, conducted an in-depth analysis of terrorism incidents around the world.

house_price_prediction_using_linear_regression

Implemented a Linear Regression Model to predict the prices of Houses based on their square footage and the number of bedrooms and bathrooms.

iris_flower_classification

Analyzing and modeling the Iris dataset with the aim of classifying the species of Iris flowers.

kkbox_music_recommendations

Predicting the chances of a user listening to a song repetitively after the first observable listening event.

mall_customer_segmentation_using_k-means_clustering

Grouping Customers of a Retail store based on their purchase history using K-means clustering algorithm

ml_cardiovascular-disease-prediction-

EDA and Model building to predict the risk of a heart attack using a Logistic Regression and Random Forest Classifier

ml_mercedes_benz_greener_manufacturing_project

This project involves reducing testing time for car configurations. The tasks include removing columns with zero variance, checking for null values, applying label encoding, performing dimensionality reduction, and using XGBoost to predict testing time.

archanakokate Goto Github PK

👩‍💻 About Me :

📫 How to reach me:

🛠️ Languages and Tools :

🔥 My Stats :

Archana Kokate's Projects

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