Abhishikat Soni

I’m Abhi, a results-driven Business & Data Professional with cross-functional expertise across Product Management, Data Science / Engineering, Business Analysis, Machine Learning, and Consulting. With proven impact at my prior companies, I bring a unique ability to bridge business strategy, product innovation, advanced analytics, and scalable engineering solutions to drive measurable results. I hold a MS Engineering Management[Computer Science], combining technical depth with business acumen. My career spans diverse industries including automotive, mobility, SaaS, AI/ML platforms, and financial services, where I have consistently delivered transformational projects, optimized processes, and scaled technology solutions. 💼 Highlights Spearheaded product roadmaps, market research, and go-to-market strategies, delivering $750K+ annual savings, 30% market share growth, and 40% faster time-to-market at Mercedes-Benz. Built AI-powered forecasting and anomaly detection models with 25% accuracy improvement, 75% fewer false alerts, and $2M+ savings in warranty costs. Designed high-volume ETL/ELT pipelines, streaming systems, and cloud-native architectures processing 1TB+ monthly data, cutting downtime by 30–45% and enabling real-time analytics. Developed C++ algorithmic trading systems, scalable microservices, and MLOps pipelines, enabling low-latency decision-making, secure payments, and AI-driven automation that prevented $20M+ in losses. Delivered process optimization, cost savings ($250K+ yr), and 10–12% revenue growth through analytics-driven recommendations, financial modeling, scenario planning, and strategy workshops for global stakeholders. 🚀 Core Tools Business: Product Management, Business Analysis, Financial Modeling, Strategic Roadmaps, Go-to-Market (GTM), Stakeholder Management, Agile/Scrum, Lean, Design Thinking. Data & Analytics: SQL, Python, R, Tableau, Power BI, Advanced Excel, Statistical Modeling, Forecasting, Data Visualization, KPI Dashboards, Data Quality Frameworks. Data Engineering: Apache Spark, Kafka, Airflow, Hadoop, Snowflake, Databricks, BigQuery, AWS (S3, Redshift, EMR, Glue), GCP (Pub/Sub, Dataflow), Azure Synapse, ETL/ELT, Data Warehousing. Machine Learning/AI: Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, NLP (spaCy, NLTK, Hugging Face), Generative AI, Recommendation Systems, Predictive Modeling, MLOps, Model Deployment. Software Engineering: C++, Java, Scala, Go, JavaScript, REST APIs, FastAPI, Flask, Microservices, System Design, CI/CD (Jenkins, GitLab CI, GitHub Actions), Docker, Kubernetes, Terraform.