<ul><li>Pursuing advanced data science certification, gaining expertise in data analysis, machine learning, visualizations, SQL, Power BI, Excel, and data-driven decision-making to enhance analytical capabilities and solve complex business problems.</li></ul>

Professional Certificate Course in Data Science

<ul><li>Optimized SQL queries for complex databases, achieving a 15% reduction in query execution time by applying indexing and join best practices, while ensuring 99.9% data integrity through mastery of transaction management, ACID properties, and data consistency in multi-user environments.</li></ul>

Introduction to Database Systems

<ul><li>Optimized deep learning models using Keras and TensorFlow, reducing training time by 40% through hyperparameter tuning and GPU acceleration, while learning advanced concepts in ANN, RNN, and CNN, improving model performance by 25% in classification tasks compared to traditional methods.</li></ul>

Deep Learning

<ul><li>Coordinated Technical fest Robotics Event</li><li>Participated in Smart India Hackathon</li><li>Represented college in various Hackathons (EYRC, Ayra Hackathon)</li></ul>

Bachelor of Technology

Computer Science

Intermediate (Class XII)

Science

Matriculation (Class X)

<ul><li>Conducted backtesting using Pandas, NumPy, and visualization tools (Matplotlib, Bokeh, Seaborn) to analyze total orders, cumulative PnL, and brokerage fees, identifying a 45% increase in profitability over 6 months; developed LSTM-based stock price prediction models with Keras and TensorFlow, improving forecasting accuracy by 80% compared to traditional models.</li><li>Built an Automated Trading Bot capable of executing buy/sell decisions based on real-time data, utilizing genetic algorithms to optimize trading profitability, achieving a 25% improvement in monthly returns while reducing drawdown by 10%; incorporated Reinforcement Learning techniques, enhancing strategy performance by 18% over baseline models.</li><li>Performed data cleaning, segregation, and precomputation with Pandas and NumPy, addressing missing values (reducing null data by 95%), outliers, and normalization; integrated third-party APIs for secure data transactions, managing over 100+ API keys, and ensuring 98% uptime with rate-limiting, timeouts, and retry mechanisms.</li></ul>

Backend Developer

<ul><li>Automated workflows by integrating LookerBI with Pandas, fetching data from Excel and exporting it directly to Google Docs, reducing manual chart transfers by 95% and cutting report generation time from 3 hours to 15 minutes per cycle.</li><li>Leveraged Databricks to run complex SQL queries, processing over 10 million rows of data, performing data cleaning, consistency checks, grouping, and clustering, resulting in a 40% improvement in reporting accuracy and 50% faster query execution.</li><li>Implemented optimization techniques in coding practices, improving execution time by 30% when handling large datasets (over 10GB), ensuring smoother operations and significantly reducing system resource consumption.</li></ul>

SDE Intern

<ul><li>Developed and implemented a custom filter component using ReactJS and JavaScript, improving data filtering capabilities and reducing search time by 60%, allowing users to find relevant information in less time.</li><li>Enhanced search functionality by integrating the filter component into the application, resulting in a 50% increase in search accuracy and a 40% reduction in load times, providing users with quick and relevant results.</li><li>Improved UI/UX by incorporating optimized bar charts and pie charts, with a 20% increase in user engagement and 30% reduction in bounce rates due to responsive design and better layout structure.</li></ul>

Frontend Developer

Rajasthan Technical University Kota

India

Data Analyst and Aspiring Data Scientist with 1.5+ years of experience in Python, SQL, and statistical analysis, including hands-on work in financial services and real-time analytics. Well versed with essential tools like SQL, Python, Excel and Power BI.

<ul><li>Analyzed the Chinook music database using SQL to extract key business insights, identifying top-selling tracks and trends, and visualized findings with Power BI through dynamic charts, improving data-driven decision-making by 30%.</li><li>Analyzed annual track sales, identified top-selling tracks by country, and assessed artist popularity using SQL and data visualization tools; discovered 20% more high-rated songs and provided actionable recommendations that led to a 15% increase in artist engagement.</li><li>Compiled insights into structured project documentation using Google Docs, and presented findings in a PPT, streamlining communication and reducing reporting time by 40% for stakeholders.</li></ul>

Chinook Music Store

<ul><li>Conducted analysis using Excel, leveraging pivot tables, charts, and slicers to create an interactive, data-driven dashboard for business insights, reducing data interpretation time by 35% and increasing stakeholder engagement by 20%.</li><li>Analyzed restaurant types, cuisines, customer reviews, and spending behavior to uncover insights for pricing strategies, marketing, and new restaurant opportunities, identifying potential growth areas that led to a 10% increase in customer retention and 15% boost in sales from targeted promotions.</li><li>Documented key findings and responses in a well-structured Google Docs report and created a PPT presentation deck, enhancing stakeholder understanding and reducing the time to present insights by 25%.</li></ul>

Zomato Analysis Dashboard

<ul><li>Developed a time series forecasting model using LSTM (Keras, TensorFlow) on historical stock price data retrieved via the yFinance API, achieving a 12% improvement in prediction accuracy compared to traditional forecasting methods.</li><li>Performed data consistency checks, cleaning, and preprocessing using Pandas, addressing missing values and outliers, and training the model to efficiently predict future stock prices; model's mean absolute error (MAE) reduced by 15% after preprocessing, leading to more reliable predictions.</li></ul>

Pragati KabraIndia

Social Accounts

Achievements

Projects

Chinook Music Store

Zomato Analysis Dashboard

ML Stock Market prediction

Experience

Backend Developer

SDE Intern

Frontend Developer

Education

Rajasthan Technical University Kota

Jaipuria Vidyalaya

Jaipuria Vidyalaya

Certificates

Professional Certificate Course in Data Science

Introduction to Database Systems

Deep Learning

Skills