Business Strategy | GTM | Growth
Strategic Growth & Operations Specialist focused on building scalable GTM frameworks for high-growth startups. Expert in 'Pattern Recognition'—identifying market inefficiencies and conver…
Business Strategy | GTM | Growth
Strategic Growth & Operations Specialist focused on building scalable GTM frameworks for high-growth startups. Expert in 'Pattern Recognition'—identifying market inefficiencies and converting them into revenue opportunities. Expertise includes RevOps, competitive intelligence, and churn reduction strategies. Leverages AI-native tools to automate market research and personalize outreach, resulting in a 15% reduction in customer acquisition costs while maintaining premium brand positioning.
Analyzed telemetry data from 500+ electric vehicle fleets using Python and SQL, identifying battery performance patterns and reducing range anxiety issues by 30%.
Built real-time dashboards with Tableau and ClickHouse to monitor 50K+ data points per second, enabling proactive maintenance alerts and reducing vehicle downtime by 25%.
Conducted A/B testing on charging optimization algorithms using statistical analysis (t-tests, ANOVA), improving charging efficiency by 18% across 10K+ charging sessions.
Created automated ETL pipelines with Apache Airflow, processing 2TB of vehicle sensor data weekly and reducing manual data preparation time by 20 hours/week.
Developed predictive maintenance models using XGBoost and Random Forest, achieving 87% accuracy in predicting battery failures before occurrence.
Analyzed telemetry data from 500+ electric vehicle fleets using Python and SQL, identifying battery performance patterns and reducing range anxiety issues by 30%., Built real-time dashboards with Tableau and ClickHouse to monitor 50K+ data points per second, enabling proactive maintenance alerts and reducing vehicle downtime by 25%., Conducted A/B testing on charging optimization algorithms using statistical analysis (t-tests, ANOVA), improving charging efficiency by 18% across 10K+ charging sessions., Created automated ETL pipelines with Apache Airflow, processing 2TB of vehicle sensor data weekly and reducing manual data preparation time by 20 hours/week., Developed predictive maintenance models using XGBoost and Random Forest, achieving 87% accuracy in predicting battery failures before occurrence.
Researched the Indian FinTech ecosystem to identify expansion opportunities for payment infrastructure products., Analyzed competitors including Stripe and PayU evaluating pricing strategy, APIs and developer experience., Designed a merchant acquisition strategy targeting SaaS startups, D2C brands and online marketplaces., Built Excel dashboards tracking funnel metrics including onboarding, activation and payment volume growth., Prepared insights on partnership-led distribution opportunities with SaaS and e-commerce platforms.
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