Vetted Dashboard Development Professionals

Sri Teja Adimulam

Screened

Mid-level AI Engineer specializing in LLM systems and cloud data platforms

Detroit, MI5y exp

“Customer-facing technical professional with 5+ years supporting AI, analytics, and automation solutions in enterprise environments. Currently helping build and deploy a multi-agent AI system for roadside assistance operations, with strong experience translating complex business workflows into demos, pilots, integrations, and secure production-ready architectures.”

“Startup-style fund operations professional from Servicy, an outsourced finance and operations partner to venture capital funds, who grew from business analyst into owning full fund workflows across reporting, cash management, investor communications, audit prep, and planning. Particularly interesting for roles needing analytical rigor plus operational structure: she built audit frameworks, automated manual processes, advised GPs on fund-structure incentives, and developed reporting infrastructure for a crypto fund.”

“Backend engineer focused on Node.js (Express/Fastify) and MongoDB who designed a multi-stage bill-approval workflow system for a manufacturing company, emphasizing RBAC, auditability, and scalability across multiple factory units. Also improved system robustness by catching a MongoDB connection leak in an Excise department project and has experience executing low-risk, incremental backend refactors with monitoring and rollback.”

“GenAI engineer who has deployed production LLM/RAG chatbots for internal document search, focusing on reliability (hallucination reduction via prompt guardrails + retrieval filtering) and performance (latency improvements via caching). Experienced with LangChain/LangGraph orchestration for multi-step agent workflows and iterates using monitoring/logs and benchmark-driven evaluation while partnering closely with product and business teams.”

“Cross-functional operator who regularly leads globally distributed work and acts as a bridge between product, UX, and analytics. Has driven reporting/dashboard and workflow automation initiatives with senior leadership, using data-backed communication and quick wins to improve adoption and efficiency.”

“Lifecycle/CRM marketer with 14 years of cross-functional experience, leveraging SQL-driven segmentation and structured A/B/multivariate testing to optimize engagement and conversions. Has led coordinated national/regional launches for a hardware product and tracks impact through CRM campaign codes tied to closed sales.”

“Chief of Staff with experience driving cross-functional execution and executive alignment, including in real estate development environments with shifting timelines. Implements PM tooling (Notion/Monday.com) plus KPI/OKR systems to improve clarity, accountability, and executive productivity, and has experience mediating priority conflicts between functions like marketing and operations.”

“ML/NLP engineer with experience at Charles Schwab building an NLP + graph (Neo4j) entity-resolution system to unify fragmented user/device/transaction data and improve downstream model quality and analyst querying. Has applied embeddings (SentenceTransformers + FAISS) with domain fine-tuning to boost hard-case matching recall by ~12% while maintaining precision, and has a track record of hardening scalable Python/Spark pipelines and productionizing fraud models via A/B tests and shadow-mode monitoring.”

“Former co-founder at PreConception (acquired) who partnered closely with Operations, Legal, and Medical teams to deliver a HIPAA-compliant product meeting technical and regulatory requirements. Motivated by mission and team fit, and interested in a Venture Studio CTO path with a focus on 0-to-1 building and early validation via beta testing/PMF.”

“Enterprise Customer Success professional (Iron Mountain Services) who owns accounts end-to-end from onboarding through renewal, with a strong focus on driving adoption via success plans, stakeholder alignment, and integration unblocking across Product/Engineering/Sales. Also has adjacent martech/analytics exposure (Google Analytics, Search Console, SEO audit tools) and experience translating customer feedback and usage data into roadmap-impacting product requirements.”

“Built and launched a personalized sprint-planning dashboard to reduce recurring planning friction, choosing a simple, reliable scoring approach over a complex model. Iterated based on team feedback (more control, dependency clarity, performance), achieving a reported 20% drop in task spillovers; transparent about not yet shipping production LLM/RAG features but actively learning.”

“Data engineer focused on AWS + Spark/Databricks pipelines, including an end-to-end nightly loan-data ingestion flow (~2.2M records) from Postgres/S3 through Glue and Databricks into a DWH with layered validation and alerting. Also built real-time streaming with Kafka + Spark Structured Streaming and a master’s project streaming Reddit data for sentiment analysis under ambiguous requirements and tight budget constraints.”

Rohan Varma Bandari

Screened

Mid-level Data Scientist & Generative AI Engineer specializing in LLMs and RAG

USA4y exp

“Built production LLM + hybrid RAG and multi-agent orchestration systems at Wells Fargo to automate complaint document/audio transcript understanding and categorization, addressing vocabulary drift via embedding + vector index updates instead of frequent retraining. Strong in LLM workflow reliability (testing/benchmarks/observability) and stakeholder-facing delivery with explainability (citations/SHAP-style justifications) and Tableau dashboards.”

Bhaskara Naidu

Screened

Director-level Talent Acquisition Leader specializing in SaaS, Product & GCC tech hiring

Hyderabad, India14y exp

“Recruiting leader with 4+ years of people management experience, leading a team of 8 direct-report recruiters and staying hands-on in high-impact executive searches (including senior engineering leadership). Strong HRBP and executive stakeholder partner who uses KPI-driven reviews, structured interviewing, and dashboards to improve quality and cut hiring timelines ~20–25%, while also reducing agency reliance through source-mix and cost-impact analysis.”

Ryan Echols

Screened

Senior Workforce Analytics & WFM Leader specializing in contact center operations

Marietta, GA8y exp

“Operations-focused team lead currently managing 20 coordinators, with strong workforce management experience spanning forecasting, scheduling, KPI/staffing reporting, and executive-facing data presentations. Led a cross-functional Salesforce implementation and redesigned forecasting/workflow to support a newly created internal-promotion department, improving flexibility in coverage planning.”

Rahul Setia

Screened

Director-level Growth Marketing leader specializing in full-funnel acquisition and lifecycle optimization

Calgary, AB11y exp

“Growth and partnerships professional with experience across fintech (SMB loans) and edtech (ByteLearn), combining SEO-led content ecosystems and performance marketing experimentation with rigorous lead-quality verification. Has closed white-label partnerships in the dental industry and built creator/referral incentive programs, consistently tying initiatives to funnel metrics like leads, MQL/SQL, activations, LTV, and ROAS.”

Yusuf Abdikadir

Screened

Senior Software Engineer specializing in 3D simulation, digital twins, and robotics

London, United Kingdom6y exp

“UK-based Unity developer who built a 3D simulation/digital-twin platform for an autonomous-vehicle startup, integrating Unity environments with external robotics stacks, web APIs, virtual sensing, and dynamic traffic systems. Interested in moving into VR, though has not shipped VR/Meta Quest titles yet.”

“Worked on industrial pump analytics at SitePro, where they built an anomaly detector using messy sensor and pump data and used historical failure and maintenance cost analysis to make the business case to stakeholders. They combine SQL/Python data preparation with practical stakeholder communication around metrics like churn and operational impact.”

“Analytics candidate currently at Facteus with hands-on experience turning messy transactional data into trusted reporting layers in Snowflake and Power BI. They combine SQL and Python automation with strong validation, performance tuning, and stakeholder-facing metric design, including cohort-based retention and segmentation work that improved trust and adoption of analytics.”

“Healthcare analytics candidate with hands-on experience turning messy EHR, billing, and operational data into validated SQL datasets and automated Python/Airflow pipelines. They appear strongest in hospital KPI reporting—especially length of stay, readmissions, retention, and bed utilization—and have owned projects from metric definition through Power BI delivery and impact measurement.”

“Candidate has hands-on project experience in healthcare analytics, using SQL, Python, and Power BI to analyze CMS hospital readmissions and HRRP penalty risk in Florida. Their work centers on turning messy CMS flat files into reporting-ready datasets, benchmarking hospitals against national references, and surfacing financial risk through dashboards.”

“Healthcare analytics professional with Cigna experience turning complex claims, eligibility, and provider data into trusted reporting layers using SQL, Python, and Power BI. Stands out for combining deep data-quality rigor with end-to-end ownership of operational analytics projects, including standardized retention/churn metric design and automated reporting workflows.”