Sushant Kumar Email & Phone Number

Delhi, India

1.Excel Dashboard Development: Designed and implemented a detailed Excel dashboard for ABC Insurance, reducing call abandonment rates from 30% to 10% by analyzing a 23-day inbound call dataset.2,Regression Analysis: Conducted regression analysis on over 11,000 car models, which led to increased profitability. Developed dynamic dashboards in Excel to present actionable insights to stakeholders.3.Exploratory Data Analysis (EDA): Executed exploratory data analysis on bank user data using Python, uncovering key factors influencing loan defaults and presenting findings to enhance risk management strategies.4.Data Cleaning and Visualization: Analyzed a comprehensive movie database to identify success factors. Performed data cleaning and advanced Excel analysis, creating reports and visualizations to support strategic decision-making.5.Collaborative Projects: Collaborated with cross-functional teams to gather requirements and deliver data-driven solutions, improving project outcomes through effective communication and teamwork.6.Technical Skills Utilized: Applied Python (Pandas, NumPy), SQL (MySQL), and advanced Excel functionalities (Pivot Tables, Formulas) to effectively extract, manipulate, and present data.

Delhi, India

During my Psyliq internship, I sharpened my data analysis skills by delving into projects that required proficiency in SQL, Python, and Power BI. I conducted extensive statistical analysis to derive insights from complex datasets, enabling me to:1. Analyze HR data: Investigated the retention rate (16%) among 4410 total employees and explored correlations between factors such as happiness, salary, work satisfaction, job role, and education level. Leveraged Power BI, SQL, and Excel to perform in-depth analysis and generate actionable insights.2. Visualize Employee Data: Worked with a dataset comprising 3001 employees, utilizing SQL, Power BI, and Python to create basic visualizations. Extracted meaningful insights to facilitate decision-making processes and identify trends within the employee dataset.3. Implement LSTM for Stock Prediction: Developed a stock prediction model using Long Short-Term Memory (LSTM) in Python. Leveraged historical data from HAL to forecast stock prices for the upcoming year, employing advanced machine learning techniques to enhance prediction accuracy and inform investment decisions.

Delhi, India

1. Applied various predictive models, including Logistic Regression, Random Forest, and Gradient Boosting, for insightful data analysis and model evaluation.2. Employed advanced models such as K-Nearest Neighbors and Logistic Regression for pattern recognition and classification, refining skills in data-driven decision-making.

Delhi, India

As an intern at MedTourEasy, I conducted a comprehensive study on the relationshipbetween hand dominance (right-handed vs. left-handed) and age. This project involved:-Data Collection and Cleaning: Utilized data from the National Geographic Survey(1986) and U.S. death distribution data (1999).- Data Analysis Techniques:Employed histograms, line plots, and bar plots forvisualization. Used Bayes' rule to calculate conditional probabilities.- Tools and Technologies: Leveraged Python, Google Colab, and key libraries (Pandas,Matplotlib, NumPy, SciPy) for analysis.Key Findings:- Right-handers had a longer average lifespan (72.8 years) compared to left-handers (67.2years).- The overall probability of left-handedness was found to be approximately 7.77%.- The study revealed significant insights into the evolution of hand dominance over timeand its societal influences.