Om Gaikhe Email and Phone Number
As a data science professional with a concentration in applied analytics in finance, I specialize in AI research, data engineering, and financial analysis. My work includes co-authoring research on AI governance and inclusion ethics, with publications presented at the RII 2024 Forum and AAAI-24 Symposium, where I won the Best Paper Award for the AI Strategies: Comparative Review of National & Intergovernmental Approach paper. I bring expertise in Python, SQL, Azure, & machine learning to drive innovative solutions in AI & Business. Passionate about applying cutting-edge technology to solve complex business challenges, I have experience in streamlining data processes and optimizing financial models.Programming Languages: Python, R, SQL, Prompt Engineering Operating Systems: Windows, LinuxDatabase Management: MySQL, Microsoft SQL Server, Oracle, PostgreSQLStatistical & Probability Theory: Linear/Logistic Regression Analysis, Bayesian StatisticsData Manipulation: Data Processing, Clustering, Data Mining, Data Mapping, Data Visualization, Data ModelingData Visualization Tools: Tableau, Power BI, MATLAB, Google Analytics, Google Data Studio, IBM SPSSLibraries: Python (Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, SciPy, TensorFlow, OpenCV2)Data Science Techniques: Classification, Clustering, Statistical Modeling, Probabilistic Modeling, deep learning
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Technical Customer Success ManagerDe AcademyNew York, Ny, Us
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Adjunct ProfessorPace University - Seidenberg School Of Computer Science And Information Systems Sep 2024 - PresentNew York City, New York, Us• Teaching CIS 101 Introduction to Computing at Pace University, focusing on Gen AI, Excel, and Python to enhance knowledge in computing for 60+ students.• Mentoring students in utilizing cutting-edge technologies to increase productivity and problem-solving skills.• Leading research initiatives at AI lab to secure grants, to support innovative projects & technological advancements. -
Graduate AssistantPace University - Seidenberg School Of Computer Science And Information Systems Jan 2024 - May 2024New York City, New York, Us• Developed proof-of-concept chatbot demonstrating accuracy in summarizing research papers, answering complex queries, & providing relevant recommendations, reducing 25% research time & automated topic modeling for researchers at AI lab. • Enhanced literature review & research efficiency by creating a specialized chatbot utilizing Llama-2 & NLP techniques, accessing database of 1.7 million machine learning publications, minimized research time by 2-3 weeks for Computer Science department. • Monitored & presented published paper at Google Dev Group International Women’s Day event, inspiring 60+ participants.
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Graduate Student Research AssistantPace University - Seidenberg School Of Computer Science And Information Systems Sep 2023 - May 2024New York City, New York, Us• Co-Authored publication by developing analysis on Global North & South perspectives in AI Governance using NLP & Llama 2 creatively introduced automated novel approach to infer objectivity & sentiment differentiation, securing Best Paper Award. • Managed multiple end-to-end projects & lead team to publish research papers influencing image generation models focusing on African Fashion using StyleGAN3, fast-tracked experiments by 50% for co-authored publication - Inclusion Ethics in AI. • On-loaded Llama2 on high performance computing Linux system & continuous development of LLM on educational use cases to assist educators throughout the university, increasing productivity of Graduate/Teaching Assistants by 10%. • Attained CITI research, ethics & compliance training to probe companies across Africa observing ethical development of AI.
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Ai/Ml InternShoptaki Sep 2023 - Dec 2023New York, New York, Us• Collaborated with CEO for performance optimization by reducing 3 manual processes using Python scripts to enable stock quotes & company research via Azure SQL Database, enhancing research team recommendations by 18% through automated reporting • Developed & maintained API-based data feeds using Python to extract stock quotes from IBRK, storing data in Azure SQL Database, providing access to 1,000+ company descriptions & level 2 stock quotes, improving project team productivity by over 30%. • Optimized feature selection using Python for cross-covariance matrix and hierarchical clustering, employing LSTM hyper-tuning in Azure Machine Learning, improving prediction accuracy by 18% and enhancing research team outputs -
Strategy ConsultantAdofast Oct 2020 - Jan 2022Thane, Maharashtra, In• Designed data-driven approaches to assess key financial & operational indicators, focusing on profitability, expense management, & production cycle times to align with strategic objectives. • Examined core metrics including profit margins, expense ratios, translating findings into interactive Tableau dashboards to aid in strategic decision-making and optimize business performance. • Labeled data, extracted, and categorized information contained in financial news and reports for sentiment analysis; contributed to the development of industry mapping knowledge domain -
Business/Market ResearcherQyuki Digital Media Dec 2019 - Feb 2020Mumbai, Maharashtra, In• Supported Product Development Lead in detecting advancing markets & client needs by conducting research & customer analysis by designing user-friendly customer feedback systems using Typeform; early results indicated 27% increase in feedback.• Conducted market analysis on 1500+ responses from consumer survey to evaluate brand perception & customers' willingness to pay by incorporating regression analysis with 75% accuracy to assess product demographics' impact on consumer influx.• Recommended analytical approach of MMM for business growth by developing PowerBI dashboards containing performance metrics for senior management to assist strategic decision-making; dashboards used by 10+ executives.
Om Gaikhe Education Details
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Pace University - Seidenberg School Of Computer Science And Information SystemsApplied Methods In Finance -
Sydenham College Of Commerce And EconomicsGeneral
Frequently Asked Questions about Om Gaikhe
What company does Om Gaikhe work for?
Om Gaikhe works for De Academy
What is Om Gaikhe's role at the current company?
Om Gaikhe's current role is Technical Customer Success Manager.
What schools did Om Gaikhe attend?
Om Gaikhe attended Pace University - Seidenberg School Of Computer Science And Information Systems, Sydenham College Of Commerce And Economics.
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