Machine Learning Project Management
Resume:
Rijeesh Keloth
Email: *****************@*****.***
Contact : +1-540-***-****
SKILLS
• High volume data analysis using
Python, SQL, C++
• Advanced data visualization tools
(Matplotlib, ROOT), Machine
learning, Machine Learning, Deep
Learning, NLP, TensorFlow, Data
mining, Statistical analysis, Data
cleaning, Data quality management
• Project management, Dashboard
development, Algorithm Development,
Automation project management,
Adaptability to new industries,
Problem-solving, Research and data-
driven decision-making, Leadership
and team collaboration, Continuous
learning and professional development,
Effective communication skills.
SELECTED PROJECTS
• Engineered a sophisticated real-time
sensor data monitoring and
visualization GUI in Python,
leveraging Tkinter, Matplotlib, and
NumPy to enable immediate and
intuitive data insights.
• Pioneered an NLP project for emotion
detection in audio files, extracting
critical features to enhance sentiment
analysis accuracy and application.
• Designed a robust machine learning
pipeline for early fault detection in
wind turbines, significantly improving
power efficiency and reducing
operational risks.
• Applied advanced techniques of
Approximate Entropy (ApEn) and
cross-Approximate Entropy (cross-
ApEn) to analyze complex
cardiovascular and biological time
series, offering new insights into
health data analysis.
EXPERIENCES
Post-doctoral Researcher: Virginia Tech, USA
2023 Oct - continuing
• Pioneered particle physics research, for achieving a 95% confidence level in data analysis and uncovering critical insights from vast datasets.
• Engineered a sophisticated GUI for real-time data monitoring in an underground dark matter experiment, significantly enhancing data visualization and operational efficiency.
• Mentored students and collaborated with a 200-member research team, boosting productivity and fostering a culture of innovation and excellence.
Post-doctoral Researcher: VUB, Belgium
2020 Oct - 2023 Sept
• Elevated particle detection efficiency from 30% to 70% using advanced machine learning techniques on a 128-node computing cluster.
• Managed complex data operations involving 100 GB of weekly data across Europe, demonstrating exceptional organizational and logistical skills.
• Led a 50-person team in refining machine learning pipelines, contributing to the publication of 3 journal articles and 2 conference papers.
Post-doctoral Researcher: IIT Hyderabad, India
2019 Jun - 2020 Jun
• Co-directed a study on neutrino interactions, achieving an AUC score of 0.8 and advancing the frontier of statistical modeling in particle physics.
• Communicated complex research findings effectively, promoting continuous professional development and scholarly engagement.
• Co-mentored 2 Ph.D. candidates and 1 Master’s student, guiding them in their research on cutting-edge particle physics topics. Ph.D / Visiting Scientist: Fermilab, USA
2015 Jan - 2019 Aug
• Developed an analysis pipeline for underground particle detection, boosting accuracy by 87% and reducing processing time by 55%.
• Distinguished speaker at Fermilab in 2018, highlighting the significant advancements in the India–US neutrino collaboration.
• Spearheaded data simulation for the NOvA neutrino experiment, producing over 20 TB of data and contributing to 12+ peer-reviewed publications, significantly advancing neutrino oscillation research. 20 articles published in international high impact journals with an h-index of 13 and 1715 citations Experienced Data Scientist with a Ph.D. in Physics, skilled in high volume data analysis and machine learning. Proficient in Python, SQL, C++ and data visualization, with a solid research background. Proven leader in complex projects, delivering actionable insights and developing dashboards. Adaptable to new industries, enhancing system efficiency, and driving automation. Committed to continuous learning and thriving in dynamic, fast-paced settings. EDUCATION: PhD in Particle Physics
2019 April Fermilab, USA
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