As a Mathematics Graduate with a certification in data science, I am passionate about utilizing my research and analytical skills to uncover patterns and insights that drive business success. I am well-equipped to identify trends and opportunities for growth. I am seeking a role in the data science and business analytics industry where I can apply my skills and experience to drive strategic decision-making and deliver impactful results. ● Python: Data Visualisation, Data Cleaning, Manipulation and performing Exploratory Data Analysis (EDA) using Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn. Area of Focus: Solving Data Analysis problems using Python. ● Statistics for Data Analysis: Chi-Square Test, ANOVA, T-test, Z-test, Hypothesis Testing. ● Machine Learning Algorithms: Supervised: Linear Regression, Logistic Regression, K Nearest Neighbour, Decision Trees, Ensembling Techniques (Random Forest, AdaBoost, Gradient Boosting, XG Boost, Light GBM) ● SQL: DQL, Joins, Aggregate Functions, SQL for Data Analytics Area of Focus: Solving Data Analysis problems using SQL. ● HTML, CSS and Bootstrap: Tables, Forms, CSS Styling. ● PHP: Php forms, Tables, php in Model view controllers(MVC). PROJECT: HR Analytics - Promotion Prediction ● Description: HR Analytics Promotion Prediction involves using machine learning algorithms to predict the likelihood of an employee getting promoted within an organization. This prediction is based on a range of factors such as employee demographics, performance ratings, job history, education, and skills. By analyzing these factors, HR professionals can identify the most suitable candidates for promotion, ensure a fair and transparent promotion process, and reduce employee turnover. ● Goal: The task is to predict whether a potential promotee at checkpoint in the test set will be promoted or not after the evaluation process. Name: ROHIT DAHIYA Location: DELHI NCR Ph: 7217634439 Email: dahiyarohit3108@gmail.com SUMMARY KEY SKILLS ACADEMIC PROJECTS ● We, as Data Scientist are now presented with a dataset of the massive state of Andhra Pradesh which includes the details of the people that have been provided the claim and now we have been handed a task to predict whether the claim provided to people benefited them or not. Our task is to predict that if provided with the claim, what are the chances of saving people’s lives which obviously is the main reason to pull up the funds for this scheme. ● GOAL: To Predict Whether government is able to reduce the Mortality or not. ● Key skills: Machine Learning: Random Forest Classifier, Decision Tree Classifier, ADA Boost XG Boost, Light GBM, Gradient Boosting Classifier, Seaborn, Matplotlib, Feature Scaling, Feature Engineering, Transformation, Statistical Analysis. Tools: Python CAPSTONE PROJECT: Mortality Prediction of Andhra Pradesh Govt. Insurance Data Degree Institute Parentage/ CGPA PGP (DSE) Great Learning (Great Lakes), Gurgaon 70% B.Sc(H) Mathematics Aatma Ram Sanatan Dharma College, Delhi 70% 12th(CBSE) Modern Child Public School, Delhi 78% ● Key skills: Data Analysis, Statistics for Machine Learning, Stats Linear Models, Sklearn Machine Learning Models, Cross-Validation, Bagging, Boosting, Stacking Models. ● CodeIgniter: Proficient in using CodeIgniter to develop scalable, high performance web applications Following MVC architectural principles. Technologies Used: CodeIgniter, PHP, MySQL, HTML, CSS, Javascript. Responsibilites : Managed database interactions with CodeIgniter’s ORM to ensure secure and efficient data operations. Skill Section: PHP Framework ● Model View controller: Experienced in implementing MVC design pattern to separate business logic, user interface, and data management, improving code maintainability and scalability. ● Collaborated with front-end developers to integrate responsive designs and enhance user experience.. Architecural Patterns: ● Three Months internship in Employee’s Provident Fund Organisation. ● Associate Analyst in Global logic Technologies Pvt. Ltd (March2024-May 2024) ● Php developer intern at Phoneme Solutions Pvt. Ltd (June-Present) Experience ACADEMIC QUALIFICATION