Saif Aslam

• Delivered market mix and forecasting models (ARIMA, Prophet, UCM) for FMCG brands, improving demand prediction accuracy and guiding spend optimization • Automated analytics pipelines using Python, PySpark & AWS Glue, reducing refresh cycles from weeks to days • Built NLP-based sentiment analysis solution (LDA, RAKE, BERTopic) to process 500+ client reports, accelerating insights delivery • Led a 3-member team to transform static codebases into dynamic, scalable pipelines, increasing reusability across pro

• Built and deployed anomaly detection application (ARIMA, Bollinger Bands, slope-change) for Fortune 100 Pharma brand in 12 weeks, leading a 10+ member cross-functional team to track anomalous Sales events • Partnered with global stakeholders across US, China & EMEA to translate analytics outputs into strategic recommendations, directly influencing launch planning and go-to-market strategies • Designed customer targeting models for 1M+ healthcare providers across asthma & specialty markets, improving targe

• Automated an end-to-end customer segmentation workflow reducing processing time from 6 weeks to 2 weeks, enabling monthly updates over semester refreshes • Fine-tuned Random Forest classification models to predict target customers for salesforce planning, improving AUROC to 0.75 and solving class imbalance via SMOTE utilizing Feature engineering • Conducted ROI-based marketing impact assessments, applying regression-based market mix models to optimize channel spends and guide leadership in budget allocati

• Led the growth journey of startup achieving a 10 fold increase in orders in a span of 4 months.  • Helped setup the online channel for lead generation and customer acquisition. • Reduced CAC by 50% through optimized ad delivery and targeting which resulted in increase of organic leads by 30% MoM and conversion rates by 40%. • Involved in paid social, search and display ads, content driven marketing. • Within RedCarpetup, I worked on Storental a product that was built from scratch where lean startup method

Objective- "Data Transmission through Audio Jack Using Android Interface" • Learned data transmission, Power Harvesting • Component (Microcontroller, Temp.Sensor, IRLED) selection • Case Study On Audio Jack development tools

Objective- "Communication Technology Options for last mile connectivity for Disaster Management" • Learned TETRA and DMR Technology • Learned the concept of QPSK, TDMA, FDMA, Cell Selection and GIS server • Case Study On TETRA(Delhi Metro Rail Corporation)