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Click here or scroll down to respond to this candidateCandidate's Name
Email: EMAIL AVAILABLEContact : PHONE NUMBER AVAILABLESKILLS High volume data analysis usingPython, SQL, C++ Advanced data visualization tools(Matplotlib, ROOT), Machinelearning, Machine Learning, DeepLearning, NLP, TensorFlow, Datamining, Statistical analysis, Datacleaning, Data quality management Project management, Dashboarddevelopment, Algorithm Development,Automation project management,Adaptability to new industries,Problem-solving, Research and data-driven decision-making, Leadershipand team collaboration, Continuouslearning and professional development,Effective communication skills.SELECTED PROJECTS Engineered a sophisticated real-timesensor data monitoring andvisualization GUI in Python,leveraging Tkinter, Matplotlib, andNumPy to enable immediate andintuitive data insights. Pioneered an NLP project for emotiondetection in audio files, extractingcritical features to enhance sentimentanalysis accuracy and application. Designed a robust machine learningpipeline for early fault detection inwind turbines, significantly improvingpower efficiency and reducingoperational risks. Applied advanced techniques ofApproximate Entropy (ApEn) andcross-Approximate Entropy (cross-ApEn) to analyze complexcardiovascular and biological timeseries, offering new insights intohealth data analysis.EXPERIENCESPost-doctoral Researcher: Virginia Tech, USA2023 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, Belgium2020 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, India2019 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 Masters student, guiding them in their research on cutting-edge particle physics topics. Ph.D / Visiting Scientist: Fermilab, USA2015 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 IndiaUS 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 Physics2019 April Fermilab, USA |
