Headline

Data Analyst at Choice TechLab | Aspiring Data Scientist | DataAnalytics | ML | Python | Tableau | SQL | Storyteller | Blogger

About

I am an IT engineer and a Data Science Trainee at Almabetter, I am looking for a position as a Data Analyst/Scientist. I have completed my BE IT from SIES Graduate School of Technology. I have completed my higher secondary education at SK Somainya Vidya mandir. What I am looking for in an organization is that provides me the opportunity to improve my skills and knowledge and to grow along with the organization's goal. I have demonstrated sound business judgment, well-developed planning, analytical, and communication skills. I am accustomed to a fast-paced environment where deadlines are a priority and I can handle multiple jobs simultaneously. I have a strong desire to learn and seek out new relevant technologies. Please feel free to contact me on: miteshbhanushali73@gmail.com

Location

Thane

Work experience

Data Analyst at Choice TechLab, Aug 2022 - Present · 3 yrs 10 mos

Data Science Trainee at AlmaBetter, Jun 2022 - Aug 2022 · 3 mos

Credit Card Default Prediction at AlmaBetter, May 2022 - Aug 2022 · 4 mos, Remote, Objective: Predict whether the customer is gone default the next month's credit card payment Developed classification models like XGBoost, Random Forest, KNN, Decision Tree and SVM to predict if the customer is going to default the next payment. Executed EDA, performed SMOTE for class imbalance, Visualized distribution using Matplotlib and after train-test split created models and stratified target. Key Achievement: Achieved AUC ROC of 0.84 on test data using XGBoost model

Yes Bank Close Stock Price Prediction at AlmaBetter, Apr 2022 - Aug 2022 · 5 mos, Remote, Objective: Predict the Stock price of Yes bank and identify factors that drive the price. Developed regression models like Linear, XGBoost, KNN, Random Forest, SVM, also applied Time-Series models like FBProphet and Auto Arima. Carried out feature engineering and added Lag columns for the time-series model to find seasonality, trend, and correlation. Key Achievement: Achieved R2_Score of 0.91 using Random Forest and 0.98 using Linear regression on lag dataset

Education

Bachelor of Engineering - BE, Information Technology, SIES Graduate School Of Technology

XII, Science, S K Somaiya Vidyavihars College of Arts Science & Commerce Vidyavihar Mumbai 400 077