Karan Jain

Mechanical Engineer with over 5 years of professional experience spanning sales, operations, and logistics, poised to transition into Data Science. Demonstrated proficiency in managing teams, projects, and client relationships, with a solid track record as a team leader for 3 years. Skilled in data analysis, machine learning techniques, SQL, and Python programming, adept at harnessing data-driven insights to propel business growth and streamline operations. Committed to delivering innovative solutions through a blend of technical acumen, leadership prowess, and effective problem-solving abilities.

Cinematic Wonders

• Implemented data analytics software to strategize & execute a project enhancing the cinematic
  experience through diverse metrics.
• Enhanced model performance by 15% through implementation of Gradient Boosting technique,
  resulting in improved predictive power & facilitating better decision-making.
• Evaluated recommendation engine using Precision, Recall, & F1-score to ensure accurate &
  relevant movie recommendations
• Scored a perfect accuracy of 1.0 (100%) in Kaggle competitions using gradient boosting algorithms.

Rental Bike Demand Prediction

• Boosted bike rental bookings significantly through the development of a predictive model using
  Python & Machine Learning algorithms.
• Improved decision tree model performance through Scikit-learn optimization methods, resulting
  in increased predictive accuracy.
• Analyzed model accuracy utilizing R-squared & adjusted R-squared metrics.
• Utilized Random Forest & Linear Regression models in Python to achieve approximately 87%
  accuracy in predicting R2 scores on training & test datasets.

• Software & Website Proficiency: Skilled in utilizing Jupyter Notebook, Google Colab, Excel, Google Sheets, Metabase (MySQL), and DB Fiddle for data analysis and visualization tasks.
• Programming Languages: Proficient in SQL and Python for data querying, manipulation, and analysis tasks.
• Machine Learning Techniques: Experienced in applying regression, classification, decision trees, ensemble techniques, clustering, random forests, and gradient boosting algorithms (GBA) for predictive modeling tasks.
• Data Visualization: Competent in creating visualizations using tools like Google Sheets, Excel, SQL, and Python libraries such as Seaborn, Matplotlib, and Plotly.

• Scored 1st rank in City in National Science Olympiad.

• Father’s Name: Mr Rajeev Jain
• Permanent Address: 195, Adarsh Colony, Link Road, Muzaffarnagar, UttarPradesh, 251001.
• Date of Birth: 06.08.1994
• Marital Status: Married
• Nationality/Religion: Indian/Hindu
• Interest & Hobbies: Reading books, Travel, Internet Browsing