DYNE
• Implemented an enhanced menu similarity analysis using RNN, resulting in a 12 percent accuracy
improvement over the previous model.
• Conducted web scraping using Beautiful Soup and Selenium to extract office locations for clients from
the Spacelist website across 20 cities in Canada, facilitating efficient business operations and
decision-making for clients seeking suitable office spaces.
KONTONE
• Implemented a robust triangle detection strategy, leading to a 15 percent increase in trading gains.
• Utilized advanced forecasting techniques such as ARIMA and SARIMAX models to accurately predict future trends,
achieving a prediction accuracy of 73 percent.
• Utilized CNN techniques to forecast stock trends and achieved an accuracy rate of approximately 81 percent through
extensive back-testing.
Tata Consultancy Services
• Gathered raw data from various sources and performed data cleaning operations, resulting in improved data accuracy.
• Led initial data exploration, utilizing visualization and statistical analysis.
• Demonstrated strong proficiency in feature engineering by creating novel and impactful features.
• Implemented robust log creation and custom exception handling for reliable program execution.
iNeuron
• Developed and implemented more than 3000 lines of code for recommendation project, showcasing strong programming skills and attention to detail.
• Successfully performed data scraping from over 100 web pages, demonstrating the ability to gather and handle large-scale data efficiently.
• Conducted extensive data cleaning and preprocessing on a substantial food dataset, consisting of over 2 million records. This process ensured high-quality
data for subsequent analysis.
• Exhibited expertise in machine learning by performing rigorous model selection, fine-tuning, and optimization, resulting in a remarkable 18% improvement in
model performance.
• Played a pivotal role as a contributing member of the AIOPS (Artificial Intelligence for IT Operations) team, actively contributing to the development
and implementation of cutting-edge AI solutions.
Indian Institute of Engineering Science and Technology(IIEST)
• Actively contributed to a research paper titled "A Survey on Rice Plant Disease Identification using Image Processing and Data Mining Techniques,
" demonstrating a passion for both agriculture and technology.
• Played a key role in coding and implementing various image processing and data mining algorithms, aiding in the identification and analysis of
rice plant diseases.
• Assisted in the extensive data collection effort by capturing and curating a comprehensive dataset of more than 10,000 images encompassing diverse
varieties of Rice Plant Diseases.
• Collaborated effectively with the research team, leveraging technical expertise and domain knowledge to enhance the accuracy and robustness of disease
identification methodologies.
