Vetted Forecasting Professionals

“Recruiter with full-desk, end-to-end ownership of searches (example: Project Engineer) spanning intake, multi-channel sourcing, structured screening/interview coordination, offers, onboarding, and 30/90-day retention follow-ups. Emphasizes recruiting operations rigor—weekly requisition aging, pipeline reviews, and bottleneck management—including implementing a 48-hour hiring manager feedback SLA to unblock stalled searches.”

Visswanath Baskaran

Screened

Mid-level Data Analyst specializing in BI, ETL, and forecasting

Tampa, FL4y exp

“Analytics professional with hands-on experience at Charge Dock building SQL- and Power BI-based operational reporting for SLA compliance, uptime, and incident management. Also developed a reproducible Python demand forecasting workflow using Pandas and Statsmodels to support inventory planning, showing a blend of BI, data engineering, and forecasting capability.”

“Performance marketer with experience managing media budgets ranging from $10K to $3.5M, including direct ownership of $50K+ monthly accounts. Demonstrates strong practical expertise in Meta-led creative testing and scaling, full-funnel allocation across Meta and Google, and diagnosing stalled performance through tracking, creative fatigue, targeting, and funnel analysis. Seeking full-time roles but open to contract work as well.”

“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”

“HR leader with ~20 years of experience focused on raising talent and performance standards through structured hiring (Bar Raiser veto panel), output-linked incentives, and rigorous operating cadences. Reports quantified impact including +21% revenue per head and 93% top-performer retention, and has built recruiting-to-revenue pipelines plus performance-gated onboarding/certification boot camps aligned with Finance and Sales.”

“Entrepreneur with 20+ years in the recruiting industry building a Salesforce-based CRM tailored to track candidate outreach from initial identification (positioned as a differentiated alternative to traditional ATS workflows). Previously launched a small consulting company after spotting unmet technical needs among small medical practitioners, emphasizing branding and relationship-driven business development.”

Gomathy Selvamuthiah

Screened

Junior Data/AI Engineer specializing in MLOps, real-time pipelines, and LLM applications

Portland, US2y exp

“Built an LLM-driven MLOps agent at SBD Technologies that automated an EV-charging prediction workflow end-to-end, integrating with real-time Kafka/FastAPI systems supporting 120K+ chargers at 99.99% event delivery. Addressed frequent schema drift by implementing SQLAlchemy/Flyway validation (60% reduction in drift issues) and deployed as Kubernetes microservices with GitHub Actions CI/CD; also has Airflow-based ingestion/crawling experience into Snowflake and stakeholder-facing delivery via a Fleetcharge PWA.”

MUNI CHARAN SINGAMALA

Screened

Mid-level Data Analyst/Data Engineer specializing in SQL, ETL pipelines, and BI dashboards

Florida, USA4y exp

“Built and supported a production analytics backend (Python, PostgreSQL/Teradata, Airflow) powering KPI/reporting dashboards, and resolved peak-time latency/timeouts through systematic SQL tuning (EXPLAIN ANALYZE, indexing, query rewrites, pre-aggregations). Also shipped an applied AI-style feature that generates plain-language report summaries from pre-computed metrics with validation, monitoring, and fallback to manual review.”

Thomas Reza

Screened

Senior Digital Acquisition Marketing Specialist specializing in paid media

Burbank, CA9y exp

“Performance marketer/media buyer with hands-on ownership of high-spend ecommerce accounts at City Beauty across Google, Meta, Amazon, Pinterest, Bing, and YouTube. Stands out for strong ROAS results, including 200% on non-branded cold traffic and 600% on branded campaigns, plus a structured full-funnel and testing methodology focused on profitable scaling.”

“Former Army professional who began working with athletes before NIL and has built a football development practice through relentless in-person outreach. He has identified and developed prospects from a young age, including Stephen Herron and Tajh Rice, with athletes progressing to major Division I programs such as Stanford, Louisville, and Duke.”

“Sales professional at AutoSherpa who partners closely with product/engineering to resolve CRM data-sync issues affecting pipeline accuracy and sensitive customer data handling. Experienced running multiple customer onboardings in parallel using structured tracking (CRM/project boards), early risk logging, and weekly stakeholder syncs; targeting $100k base and open to equity.”

“Procurement/sourcing professional with hands-on end-to-end purchasing experience using SAP/ERP—checking inventory, issuing POs, comparing approved suppliers on cost/lead time/performance, and tracking orders through delivery. Demonstrated strong cost control by catching invoice vs PO mismatches (including unapproved freight charges) and improving a late supplier’s OTD through tighter communication and expectations.”

Ritika Sisodiya

Screened

Junior Data Scientist specializing in statistical modeling and machine learning

California, USA2y exp

“AI Researcher with production experience building a real-time computer-vision detection pipeline augmented by an LLM-based verification layer to cut false positives (~78%) and reach ~90% real-world accuracy. Also partners cross-functionally with Product/Sales/Marketing to shape AI feature prioritization and market positioning using analysis and interactive dashboards.”

Tanvi Kulkarni

Screened

Intern Full-Stack Engineer specializing in Java, React, and cloud-native backend systems

Santa Clara, CA1y exp

“Frontend-focused engineer with startup experience (SmartPath, OPC AI) who owned and evolved an internal React/TypeScript component library treated like OSS—refactoring core form and API wrapper modules for stability, type safety, and smaller bundles. Comfortable diagnosing production issues via logs/API traces and shipping end-to-end fixes with tests and documentation, including internal workshops to drive adoption.”

“Built an end-to-end agentic population health strategy copilot for healthcare leadership, turning broad chronic disease questions into structured, evidence-backed strategy briefs. Stands out for combining healthcare domain knowledge with production-grade GenAI implementation, including LangGraph orchestration, Databricks/MLflow deployment, human review, and quality gates focused on citations, metrics, risks, and safety.”

Alexander Home

Screened

Mid-level investment analyst specializing in portfolio analysis and financial modeling

Oregon, USA4y exp

“Sales-focused candidate with high-volume outbound experience targeting founders and operators, primarily through LinkedIn, email, and cold calling. They report operating at 200 calls per day, booking 10 meetings per week, and contributing to $5M per quarter, with a founder-sourced opportunity specifically cited as bringing in $5M of business. They emphasize tailored messaging, trust-based relationship building, and disciplined CRM pipeline management in fast-paced environments.”

“Frontend developer who led the COC.ca (Canadian Opera Company) site end-to-end as the sole FE engineer on an AgilityCMS/.NET stack, owning master/page templates, modules, and quality. Emphasizes accessibility and responsive design, performing cross-browser/device testing with tools like JAWS, NVDA, Axe, Lighthouse, and Siteimprove; more recently built a Next.js/React/TypeScript video viewer with modal/video state management.”

Rizwana Shaik

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native apps and AI copilots

Dallas, TX4y exp

“Internship project building and deploying a LLaMA-based, RAG-enabled copilot inside a Professional Services Automation platform, enabling natural-language navigation, text-to-SQL reporting, and project/resource/budget insights across multiple modules. Addressed real production issues like context drift and vague queries with hybrid search, metadata enrichment, and an intent classification/rewriting layer, orchestrated via Apache Airflow—ultimately cutting PMO reporting time by 40%.”

Lindsey Nettles

Screened

Senior Digital Marketing & Operations Specialist in lifecycle marketing and analytics

West Hollywood, CA15y exp

“Marketing Director-level CRM/lifecycle marketer with deep restaurant/franchise and DTC experience, known for using CDP-driven segmentation and local-store personalization to materially lift loyalty (18% to 30%) and shift visit frequency (60% monthly-to-weekly). Comfortable integrating data across POS/CRM/email/feedback systems via APIs and running continuous A/B testing, plus strong stakeholder management to win franchisor buy-in through pilots and measurable outcomes.”

Ramnik Sekhon

Screened

Mid-level Customer Success & Implementation Strategist specializing in B2B SaaS onboarding

San Francisco, CA8y exp

“B2B SaaS Customer Success Manager based in the San Francisco Bay Area with 5–6 years of experience spanning big tech (Google) and startups. Has owned large enterprise portfolios (80+ accounts) and delivered strong outcomes including 110% NRR, 98% retention, and a 60% reduction in onboarding time by building scalable playbooks. Also brings martech/SEO analytics experience and hands-on technical problem solving (including Python scripting to unblock third-party API integrations).”

“Analytics professional with hands-on experience building SQL and Python workflows that turn messy multi-system data into reliable reporting. They’ve delivered measurable impact through automation and customer retention analytics, including cutting month-end reporting from 5 days to 1 day and supporting a churn reduction of about 12%.”

Hashir Saeed

Screened

Senior Performance Marketing Specialist specializing in paid media growth

Remote, Pakistan5y exp

“Performance marketer with hands-on ownership of a $70K/month Google Ads account and a clear full-funnel approach spanning YouTube, Search, Shopping, Meta, and TikTok. He combines structured experimentation with practical account auditing and website/UIUX optimization, citing a 20% ROAS lift and 15% CPA reduction over four months.”