Bimal Kumar
To leverage my expertise in Electrical Engineering and my experience as an Associate Data Scientist at CBRE to develop innovative data-driven solutions. My immediate goal is to advance my skills in data science and contribute to impactful projects that drive efficiency and insights within the organization.
Location
Delhi, India
Bimal Kumar
Github
Bimal Kumar
About Me
I am a recent graduate of Delhi Technological University (DTU) with a degree in Electrical Engineering. His academic journey at DTU equipped him with a robust foundation in engineering principles, analytical thinking, and problem-solving skills. These skills have been instrumental in his successful transition to the data science field.
Currently, I am working as an Associate Data Scientist at CBRE, where he applies his engineering knowledge and data science expertise to create and implement data-driven solutions. His responsibilities include analyzing complex datasets, building predictive models, and deriving actionable insights to support decision-making processes within the organization. My work is characterized by his analytical approach, meticulous attention to detail, and a relentless drive for innovation.
Beyond his professional achievements, Bimal is committed to continuous learning and professional development. He stays updated with the latest advancements in data science and machine learning, actively participating in workshops and online courses to enhance his skills. This dedication to lifelong learning ensures that he brings the most effective and cutting-edge solutions to his work.
My career objective is to advance within the data science domain, taking on increasingly complex projects and leadership roles. His ultimate aspiration is to become a senior data scientist, where he can lead teams, drive significant projects, and contribute to the advancement of the data science field. With his solid engineering background, current professional experience, and unwavering commitment to excellence, I am well-positioned to make substantial contributions to the world of data science.
Career Objective
To leverage my expertise in Electrical Engineering and my experience as an Associate Data Scientist at CBRE to develop innovative data-driven solutions. My immediate goal is to advance my skills in data science and contribute to impactful projects that drive efficiency and insights within the organization. Long-term, I aim to grow into a senior data scientist role, leading complex projects and mentoring aspiring data professionals.
Resume
Long-term Goals: To excel in my domain by continuously enhancing my skills and expertise in data science. My aim is to leverage these skills to understand and influence business outcomes, contributing to strategic decisions and innovations that drive success within the organization.
Professional Experience
Associate Data Scientist (Digital & Technology) Full Time – CBRE (June 2024 – Present)
- Built and deployed predictive models using Python, collaborating with cross-functional teams to enhance forecast accuracy and optimize resource allocation.
- Led analytics projects utilizing advanced tools such as Snowflake and Power BI to provide actionable insights,driving strategic business decisions and improving operational efficiency.
Data Science (Digital & Technology) Intern – CBRE (Jan 2024 – May 2024)
- Developed and implemented machine learning algorithms and utilized Hugging Face models to create robust data processing pipelines, enhancing decision-making efficiency.
- Acquired proficiency in Streamlit for developing intuitive UIs, enabling easy visualization and interaction with machine learning models, and improving user accessibility
- Implemented various NLP use cases, including text summarization and sentiment analysis, and utilized Docker for containerization, ensuring consistent deployment and scalability.
Project Management Intern – Amycom Technologies Pvt. Ltd. (May 2023 – July 2023)
- Worked on project Autofill, a water flow automation system for structural purposes.
- Extracted the insights of 1000+ dwellers to design and develop the product with the team.
- Machine Learning Intern – Suvidha Mahila Mandal NGO (Jan 2023 – Feb 2023)
- The NGO has 2000+ members. The project was based on text summarization using Machine Learning and Natural Language Processing.
- Generating short, fluent, and most importantly accurate summary of a respective input text document using NLP and ML techniques in which an input of a sequence of words in the article returns an output of words.
- Used the Spacy library for NLP and a rouge set of metrics to get the accuracy score and got the score from 0.6 to 0.9 accordingly.
Projects
Cyber-Attacks and Mitigation in Indian Electricity Markets | Python, Data Science, Machine Learning (2024)
- Utilizing Unsupervised Learning algorithm DBSCAN for anomaly detection and clustering in the Indian Electricity Market dataset and Classified the fake bids using XGBoost algorithm for identifying false data injection.
- Methodology involves data preprocessing, feature engineering, model training, and evaluation using performance metrics such as accuracy, precision, and silhouette score.
Airlines Customer Satisfaction | Python, Data Science, Machine Learning (July 2023)
- Our analysis demonstrates that several factors contribute to customer satisfaction in the airline industry. Notably, gender, customer type, and class playa significant role, with women, loyal customers, and those in the business class generally reporting higher satisfaction levels.
- In the EDA, we aim to identify the most influential features affecting customer satisfaction.
- In our predictive modeling, After evaluating multiple classification models, we found that the Random Forest algorithm demonstrated the best performance based on the mean accuracy metric, achieving an accuracy of 95%
Parkinson’s-Freezing of Gait Prediction | Python, Data Science, Machine Learning (Mar 2023 – Jun 2023)
- This project predicts gait freezing using advanced machine-learning regression
algorithms and hyper-parameter tuning techniques.
- Freezing of gait (FOG) is a common symptom in individuals with Parkinson’s disease, and accurately predicting its occurrence can significantly improve their quality of life. the predictive model demonstrated exceptional performance in accurate forecasting freezing of gait episodes, for hesitation: 0.654, turn 0.608, and walking: 0.880.
Publications
- Authored and Presented Research at ICDAM 2024: Delivered a presentation on “Mitigation of Cyber-Attacks in Indian Electricity Markets by Machine Learning Strategies” at the 5th International Conference on Data Analytics & Management (ICDAM-2024), organized by London Metropolitan University.
- Published in Springer LNNS Series: Paper accepted for publication in the Springer Lecture Notes in Networks and Systems (LNNS) series, showcasing cutting-edge research on cybersecurity and machine learning applications in energy markets.
Extra Curricular Activities and Achievements
- ProfessionalCricket Player, DTU Cricket Team (2022-2024), DDCA League in 2017 and 2018.
- Secured Silver Medal in Cricket at Spree 23 (Inter-University Sports Fest Tournament organized by BITS-GOA).
- Accomplished NCC ‘A Certificate in 2016.
Positions of Responsibility
Operations Manager: Nucleus Classes (Amy Technologies Pvt. Ltd.) (2020-2023)
- Handled operations regarding the management of projects, marketing, etc. with the team. Managing over 15+ staff members handling 300 students e.g. students with a rise of 10% in student accusation.
Mentor: Nucleus Classes (Amycom Technologies Pvt. Ltd.) (2020-2023)
- Mentored 300+ students to enhance their technical skills such as programming and academic performance and achieving an improvement rate of over 10%.
Certifications
- Technical Certifications in Data Science & Machine Learning