Nizamuddin Ansari Email & Phone Number

Greetings! I am a data enthusiast with a robust foundation in data analysis, specializing in data wrangling, preprocessing, and machine learning. My educational background includes a PG Program in Data Science, Machine Learning, and Neural Networks, complemented by a B Tech in Mechanical Engineering from JSS Academy of Technical Education.Professional Experience:As a Data Science Intern at Flip Robo Technologies LLC, I delved into data modeling and mining, contributing to projects that honed my skills in predictive modeling and analytics.Key Skills:Data Analysis: Proficient in deciphering complex datasets to extract meaningful insights.Machine Learning: Experienced in building predictive models and analytics solutions.Programming Languages: Skilled in utilizing Python for data manipulation and analysis.Data Visualization: Proficient in creating dashboards and effectively communicating insights.Advanced Excel: Well-versed in leveraging Excel for efficient data handling.Technical Skills:My technical repertoire extends to areas such as statistics, mathematics, and deep learning. Relevant coursework includes Introduction to Data Science, Python Programming Language, Data Wrangling, Statistics, Data Visualization, Machine Learning, Tableau, Advanced Excel, Deep Learning, and Deep NLP.Project Highlights:During Mar '23 - Sep '23, I executed impactful projects, employing data analysis, machine learning, and data visualization techniques. Noteworthy projects include:Web Scraping for Top 100 IMDB-rated Movies: Successfully executed web scraping using Selenium WebDriver and Beautiful Soup to collect data from the top 100 IMDB-rated movies.Predicted HR Analytics attrition with 90% accuracy and developed a Weather forecasting machine learning model predicting max and min temperature with an impressive r2 score of 95%.Bank Marketing Sales Prediction: Developed a classification model predicting term deposit subscriptions using Python, sci-kit-learn, XGBoost, data preprocessing, and hyperparameter tuning.Medical Cost Personal Insurance: Designed a regression model for medical insurance cost prediction utilizing Python, sk-learn, and feature engineering.Certifications:I hold certifications in relevant areas, further validating my commitment to staying abreast of the latest developments in the field.I am enthusiastic about leveraging my skills to turn raw data into actionable insights and contribute to informed decision-making. Let's explore the possibilities of data-driven solutions together!