Vikas Singh

Data scientist with expertise in big data and artificial intelligence. Proficient in SQL, Python, and statistical modeling. Skilled in qualitative and quantitative research, data visualization, and cross-discipline collaboration. Experienced in research project management, delivering impactful insights for evidence-based decision-making. Strong commitment to data compliance and ethics.

Data Scientist- LCA (Intern)

• Responsible for defining the scope of methodology for estimating carbon footprint of clothing items.
• Developed algorithms and calculations for carbon footprint estimation.
• Collaborated with the development team to integrate the methodology into a carbon calculator tool.

Consultant (Data Analyst- Monitoring and Evaluation)

• Conceptualized integrated monitoring systems for schemes of the Ministry and Department based on unified monitoring frameworks.
• Assisted in indicator development for monitoring across scheme divisions.
• Designed and implemented data quality assurance mechanisms.
• Used data analytics and visualization to convert data into meaningful insights for evidence-based policy making.

Health Data Analyst

• Extracted large datasets from national sample surveys using STATA and R.
• Summarized and analyzed socio-economic data using statistical techniques in R.
• Published a paper based on data analysis and literature reviews.

Research Associate (Project: Social Entrepreneurship Impact Assessment)

• Conducted bibliometrics analysis to identify key performance indicators (KPIs).
• Performed exploratory data analysis and wrote scientific research articles.
• Coordinated with 100 social entrepreneurs for impact assessment.

My educational background includes:

• MSc in Big Data and Artificial Intelligence for Business from Montpellier Business School, France (09/2022-Current).
• PhD in Food Business Management from the National Institute of Food Technology Entrepreneurship and Management, India (08/2013-02/2019).
• MBA from University School of Management, Kurukshetra University, India (05/2007-06/2009).
• BSc in Life Sciences from the University of Delhi, India (05/2003-06/2006).
• Post Graduate Diploma in Sustainable Sciences from The Indira Gandhi National Open University (IGNOU), India (12/2018-06/2022).

My  soft skills include being investigative, curious, analytical, organized, collaborative, and possessing good communication skills. Additionally, you have research skills in qualitative, quantitative, and mixed-methods approaches.

My machine learning and statistical modeling skills encompass a wide range of techniques such as ordered logistic regression, probit regression, panel data analysis, ARIMA, GARCH, k-mean clustering, ANFIS, correlation, SVM, factor analysis, and feature engineering.

My  programming skills include R, Python, Linux, and SQL, and you are proficient in data visualisation using Ggplot2, Plotly, and Matplotlib.

Overall, I have a diverse and impressive background in data analysis, research, and sustainability, and now seeking a position to utilise your skills and contribute to organisational growth.

MSc in Big Data and Artificial Intelligence for Business

• Montpellier Business School, Montpellier, France
  Major Modules: Big Data and Quantitative Methods (SQL), Business Analytics, Fundamentals for Python for Business, Artificial Neural Networks (ANN), Decision Tree, Random Forest, Research Methods.
• Project: "Understanding the Occurrence of Freezing of Gait for Patients of Parkinson’s Disease: A Machine Learning Approach."

PhD in Food Business Management

• National Institute of Food Technology Entrepreneurship and Management, Kundli, India
• Thesis: "Structure of Micro-finance Institutions and their impact on the Performance of Self-Help Groups: An Empirical Study."
• Major Modules: Advanced Statistics, Strategic Finance, Sustainability in Food Sector.

MBA

• University School of Management, Kurukshetra University, Kurukshetra, India
• Project: "Debt Refinancing Scheme of Power Finance Corporation, India."
• Major Modules: Economics for Management, Quantitative Techniques, Security Analysis.