Abishek Gisoji Ogadram
Lead Data Scientist @Purpose Financial
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WORK HISTORY
Lead Data Scientist @Purpose Financial
Greenville, SC, US
EDUCATION
Vellore Institute of Technology
Bachelor of Technology - BTech, Electrical and Electronics Engineering
Naveen Jindal School of Management, UT Dallas
Master of Science - MS, Business Analytics
ABOUT ABISHEK GISOJI OGADRAM
Welcome to my profile! I\'m an Entrepreneurial-minded self-starter with over 5 years of experience as a Data Scientist, adept at collaborating with business stakeholders in retail & e-commerce and financial services Industry to transform complex business challenges into Data Science and Machine Learning problems. Skilled in predictive modeling, delivering actionable recommendations, and valuable data insights to drive business success.My strong background in data science, complemented by a Master\'s degree in Business Analytics(Spec. in Data Science), equips me with the skills to deliver actionable insights and make informed decisions.If you are looking for a results-driven data scientist who can lead projects, drive innovation, and strategic decision-making, I would love to connect. Let\'s discuss how my skills and experience can contribute to your organization\'s success. Feel free to reach out via phone at +16•••••••97 or email at a••••••••@gmail.com. Let\'s explore how we can collaborate to unlock the full potential of your data and drive your organization forward.My skill set includes:Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL, RMachine Learning Topics: Recommender Systems, NLP, Fraud Detection, Time-Series Forecasting, Anomaly DetectionCloud Platforms: GCP, AWS, Azure, SnowflakeDatabases: BigQuery, Snowflake, Redshift, MS SQL, MySQL, Hive, Impala, MongoDBData Visualization: Tableau, Power BI, Looker, Google Data StudioTools: Airflow, Git, Jupyter Notebook, PyCharm, Jenkins, Anaconda, Bitbucket, LinuxBig Data Technologies: Hadoop, SparkDeep Learning Frameworks: TensorFlow, PyTorchExpertise:Data Science, Advanced AnalyticsMachine Learning Algorithms (Supervised, Unsupervised, and Reinforcement Learning)Predictive ModelingStatistical Analysis and Hypothesis TestingBusiness IntelligenceData Visualization and StorytellingData Mining and Feature EngineeringCustomer Lifetime ValueDemand ForecastingPricing OptimizationPredictive MaintenanceFraud DetectionCredit Risk AssessmentMarket Basket AnalysisCustomer SegmentationTargeted MarketingSales ForecastingRecommender SystemsPersonalizationNatural Language Processing (NLP)Anomaly DetectionAnti-Money Laundering (AML)Problem-solvingTeam LeadershipSelf-StarterEffective Communication with Technical and Non-Technical Stakeholders
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