Hardipkumar Parmar

Experienced software developer skilled in infrastructure,development, automation and data analysis, with a strong background in Python programming. Proficient in designing APIs, automating system configurations, and managing databases to streamline deployment processes. Demonstrated ability in teaching and mentoring, coupled with entrepreneurial experience in founding and managing successful ventures, driving significant traffic and revenue.

Stock Price Prediction - Machine Learning (Python, R, Shiny)

• Developed highly scalable machine learning models utilizing numerical analysis (Time Series Data) and textual analysis (Real-time text data) to predict stock prices with 74% accuracy.
• Utilized Python, R, and Shiny frameworks to implement robust predictive models.
• Demonstrated proficiency in handling large datasets and integrating diverse data sources for accurate predictions.

Cache Simulator and Branch Prediction (C Language, System Programming)

• Implemented three different cache policies including FIFO, LFU, and Optimal with 1 and 2-way associativity.
• Developed simulators for three distinct branch prediction techniques: Bimodal, G share, and hybrid.
• Demonstrated expertise in C language and system programming, optimizing performance and efficiency of cache and branch prediction mechanisms.

IPL Data Visualization (R, Tableau)

• Created a data visualization project using ggplot2 and Tableau, presenting insights into IPL (Indian Premier League) data.
• Utilized probability and statistics to predict the performance of 8 teams and 100 players for the upcoming year.
• Leveraged R and Tableau to generate visually compelling representations of complex data, aiding in decision-making and strategic planning.