Neha Lahane

Neha Lahane

Pune

Work style

remote, hybrid, on-site

Contact details — on requestProof of Work — on request

Experience

C

Project Associate

Centre for Development of Advanced Computing (C-DAC) · Oct 2023 – Nov 2025

Not yet confirmed
  • • Conducted in-depth EDA and refined feature engineering for Trust Score Calculation, addressing top causes of false positives and achieving a
  • 25–30% reduction in false positive rates.
  • • Designed and implemented ML models (Random Forest, SVM Regressor) embedding real-time network data and threat intelligence from
  • 10,000+ hosts, achieving 96% accuracy in predicting trust scores within a Zero Trust architecture.
  • • Validated and verified test cases for an eBPF stateless firewall, focusing on port, protocol, and IP filtering, ensuring accurate classification of
  • traffic with zero unintended packet drops and identifying 20+ edge cases.
  • • Conducted performance testing using sizeable rule sets and Hyperscan for pattern matching, identifying and documenting 30+ rule-level
  • optimisations and compilation issues across 1,000+ firewall rules.
  • • Established and executed Cisco TRex to replicate high-volume network traffic for stress and scalability testing, analysing 1–5 Gbps traffic loads
  • to ensure system stability, throughput, and detection accuracy.
C

Project Associate

Centre for Development of Advanced Computing · Aug 2023 – Nov 2025

Not yet confirmed
  • Conducted in-depth EDA and refined feature engineering for Trust Score Calculation, addressing top causes of false positives and achieving a 25-30% reduction in false positive rates.
  • Designed and implemented ML models (Random Forest, SVM Regressor) embedding real-time network data and threat intelligence from 10,000+ hosts, achieving 96% accuracy in predicting trust scores within a Zero Trust architecture.
  • Validated and verified test cases for an eBPF stateless firewall, focusing on port, protocol, and IP filtering, ensuring accurate classification of traffic with zero unintended packet drops and identifying 20+ edge cases.
  • Conducted performance testing using sizeable rule sets and Hyperscan for pattern matching, identifying and documenting 30+ rule-level optimisations and compilation issues across 1,000+ firewall rules.
  • Established and executed Cisco TRex to replicate high-volume network traffic for stress and scalability testing, analysing 1-5 Gbps traffic loads to ensure system stability, throughput, and detection accuracy.
  • Mitigated risks related to unauthorised access and malicious traffic by improving detection accuracy, minimizing security blind spots, and contributing to an estimated 20-25% reduction in operational security risk.
N

Intern

nCircle Tech Pvt. Ltd. · Jan 2022 – Jul 2022

Not yet confirmed
  • Developed and streamlined Power BI dashboards and reporting workflows, reducing reporting time by 20%, eliminating repetitive manual tasks, and improving visibility into security operations.
  • Spearheaded the integration of 4 new data sources into existing security information and event management (SIEM) systems, enhancing real-time threat detection capabilities and improving data accuracy by 12%.
  • Optimized data visualization workflows using Power BI, which reduced reporting completion time by 20% and allowed the senior team to focus on deeper insights.
N

Software Engineer

nCircle Tech · Jan 2022 – Jul 2022

Not yet confirmed
  • •Developed and streamlined Power BI dashboards and reporting workflows, reducing reporting time by 20%, eliminating repetitive manual tasks, and improving visibility into security operations.
  • •Spearheaded the integration of 4 new data sources into existing security information and event management (SIEM) systems, enhancing real-time threat detection capabilities and improving data accuracy by 12%.
  • •Optimized data visualization workflows using Power BI, which reduced reporting completion time by 20% and allowed the senior team to focus on deeper insights.

Skills 0 proven through work

Also works with

YAPISS UsageBusiness AcumenArtificial Intelligence FundamentalsModel Metric Selection & InterpretationHugging Face UsageLangChain Framework UsageEmbedding GenerationRetrieval-Augmented GenerationLarge Language Model ConceptsNLP Text AnalysisSelf-Directed LearningReliabilityProject Status CommunicationReceiving and Incorporating FeedbackAsking Good QuestionsProactive InitiativeTechnical Knowledge SharingTransparent CommunicationTeamworkAdaptabilityWork Planning and PrioritizationProblem SolvingCost-Saving Initiative ManagementBusiness Opportunity IdentificationData StorytellingData-Driven RecommendationsBusiness AnalysisStakeholder Communication AdaptationAI Solution ImplementationData UnderstandingTaking OwnershipGenerative AI ApplicationData EngineeringData Discrepancy InvestigationData Readiness AssessmentData ValidationProcess ImprovementWorkflow Design (Process Mapping)Application MonitoringTrain-Test Split ValidationFalse Positive ReductionSupport Vector Machine ModelingRandom Forest ModelingCustomer Churn PredictionMonitoring AutomationModel Performance ImprovementTabular Data Cleaning & ValidationClassification ModelingMachine Learning ApplicationFeature EngineeringExploratory Data Analysis (EDA)Data VisualizationPower BIPython DevelopmentPostgreSQL Database UsageData Science

Proof of Work

Proof of Work

Neha shares this with people who ask. You'll hear back either way.

Education

M.S., Computer Science

AlmaBetter Innovarsity in collaboration with Woolf University · 2024 — NaN

PG Diploma, Big Data Analytics

Centre for Development of Advanced Computing (CDAC) · 2023 — 2023

B.Tech, Electronics and Telecommunication

Shri Guru Gobind Singhji Institute of Engineering and Technology · 2019 — 2022

Contact details

Contact details

Neha shares this with people who ask. You'll hear back either way.

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