Arun
Delhi, Delhi Division, India
Experience: 12 years
Open to: Fractional, Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: C, CPP, JavaScript, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, Power BI, PowerShell, Problem Solving, Python3, Visual Basic
Previously worked at: India-based Companies
Assessment Score: 75
- Education and Academic Background: The candidate is pursuing a Bachelor’s degree in Computer Engineering from Delhi Technological University, with a current CGPA of 8.20. Completed Senior Secondary Education with 81.1% from R.P.V.V IP EXTN.
- Professional Experience: The candidate currently serves as a Data Science Intern at Solar Secure, Bangalore, where they leverage Python, SQL, and Power BI for data analysis and deep learning to optimize solar energy consumption. Previous internship as a Software Engineer (Front-end) involved designing and implementing user-friendly web pages and optimizing them for speed and responsiveness.
- Data Science and Analytical Skills: Proficient in data analysis and visualization, with hands-on experience in tools like Power BI and Excel. Key projects include creating dashboards for hotel cancellation trends and Amazon sales data analysis, providing insights into business performance, customer behavior, and inventory management.
- Deep Learning and Sentiment Analysis: Completed a project on sentiment analysis using deep learning techniques, achieving 96.3% accuracy in classifying IMDB movie reviews. Skilled in utilizing CNN and LSTM models, with expertise in text data preprocessing and model evaluation.
- Leadership and Team Coordination: Demonstrated leadership as a Youth Mentor at DeshKeMentor, guiding students in academic topics, and coordinated events for the All India Inter-Collegiate Cultural Festival, overseeing logistics, team management, and session organization.
- Technical Proficiency and Tools: Proficient in programming languages such as Python, C++, and JavaScript. Experienced with web technologies like HTML, CSS, Bootstrap, and React JS. Familiar with data analytics tools like Pandas, Matplotlib, NumPy, Seaborn, and DAX. Skilled in SQL, Git, and various development environments including VS Code, GitHub, and PyCharm.