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I’m Akanksha Joshi, a Data Science & Machine Learning specialist with hands-on experience building end-to-end AI solutions across legaltech (UK IPO trademark analysis), fintech/healthtech privacy, and growth analytics. I design, train, and evaluate models across regression/classification, NLP (BERT/TF-IDF/RASA), and computer vision (ResNet/pHash), and I’m highly comfortable delivering production-ready work in Python, SQL (PostgreSQL/MySQL), scikit-learn, TensorFlow, and PyTorch. What differentiates me is the blend of deep technical delivery + measurable business impact. For example, I helped develop a multimodal trademark similarity system utilizing NLP and CV, along with high-speed similarity search (PostgreSQL and FAISS), which reduced review time from ~2 hours to under 70 seconds. This system supports transparent, auditable decision-making aligned with UK standards. If you need someone who can turn messy data into reliable models, dashboards, and informed decisions, and communicate clearly with both technical and non-technical stakeholders, I can help.…I’m Akanksha Joshi, a Data Science & Machine Learning specialist with hands-on experience building end-to-end AI solutions across legaltech (UK IPO trademark analysis), fintech/healthtech privacy, and growth analytics. I design, train, and evaluate models across regression/classification, NLP (BERT/TF-IDF/RASA), and computer vision (ResNet/pHash), and I’m highly comfortable delivering production-ready work in Python, SQL (PostgreSQL/MySQL), scikit-learn, TensorFlow, and PyTorch. What differentiates me is the blend of deep technical delivery + measurable business impact. For example, I helped develop a multimodal trademark similarity system utilizing NLP and CV, along with high-speed similarity search (PostgreSQL and FAISS), which reduced review time from ~2 hours to under 70 seconds. This system supports transparent, auditable decision-making aligned with UK standards. If you need someone who can turn messy data into reliable models, dashboards, and informed decisions, and communicate clearly with both technical and non-technical stakeholders, I can help.

Akanksha Joshi

AI Developer, AI Strategy Consultant, AI Prompt Engineer, +7

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I’m Akanksha Joshi, a Data Science & Machine Learning specialist with hands-on experience building end-to-end AI solutions across legaltech (UK IPO trademark analysis), fintech/healthtech privacy, and growth analytics. I design, train, and evaluate models across regression/classification, NLP (BERT/TF-IDF/RASA), and computer vision (ResNet/pHash), and I’m highly comfortable delivering production-ready work in Python, SQL (PostgreSQL/MySQL), scikit-learn, TensorFlow, and PyTorch. What differentiates me is the blend of deep technical delivery + measurable business impact. For example, I helped develop a multimodal trademark similarity system utilizing NLP and CV, along with high-speed similarity search (PostgreSQL and FAISS), which reduced review time from ~2 hours to under 70 seconds. This system supports transparent, auditable decision-making aligned with UK standards. If you need someone who can turn messy data into reliable models, dashboards, and informed decisions, and communicate clearly with both technical and non-technical stakeholders, I can help.…I’m Akanksha Joshi, a Data Science & Machine Learning specialist with hands-on experience building end-to-end AI solutions across legaltech (UK IPO trademark analysis), fintech/healthtech privacy, and growth analytics. I design, train, and evaluate models across regression/classification, NLP (BERT/TF-IDF/RASA), and computer vision (ResNet/pHash), and I’m highly comfortable delivering production-ready work in Python, SQL (PostgreSQL/MySQL), scikit-learn, TensorFlow, and PyTorch. What differentiates me is the blend of deep technical delivery + measurable business impact. For example, I helped develop a multimodal trademark similarity system utilizing NLP and CV, along with high-speed similarity search (PostgreSQL and FAISS), which reduced review time from ~2 hours to under 70 seconds. This system supports transparent, auditable decision-making aligned with UK standards. If you need someone who can turn messy data into reliable models, dashboards, and informed decisions, and communicate clearly with both technical and non-technical stakeholders, I can help.

Available to hire

I’m Akanksha Joshi, a Data Science & Machine Learning specialist with hands-on experience building end-to-end AI solutions across legaltech (UK IPO trademark analysis), fintech/healthtech privacy, and growth analytics. I design, train, and evaluate models across regression/classification, NLP (BERT/TF-IDF/RASA), and computer vision (ResNet/pHash), and I’m highly comfortable delivering production-ready work in Python, SQL (PostgreSQL/MySQL), scikit-learn, TensorFlow, and PyTorch.

What differentiates me is the blend of deep technical delivery + measurable business impact. For example, I helped develop a multimodal trademark similarity system utilizing NLP and CV, along with high-speed similarity search (PostgreSQL and FAISS), which reduced review time from ~2 hours to under 70 seconds. This system supports transparent, auditable decision-making aligned with UK standards.

If you need someone who can turn messy data into reliable models, dashboards, and informed decisions, and communicate clearly with both technical and non-technical stakeholders, I can help.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Hindi

Fluent

Work Experience

Research Statistician at Happy City Hub Ltd

November 1, 2025 - Present

Lead researcher for Jönköping, Sweden, responsible for full data collection, verification, and structured reporting. Conduct statistical, qualitative, and contextual analysis using official city data and direct communication with municipal authorities. Ensure data entry within strict timelines and alignment with international methodological standards.

Growth & Data Analysis Specialist at Medront Datalabs Pvt Ltd

January 1, 2024 - August 1, 2024

Executed the user acquisition strategy using API integrations (Facebook, Instagram, Gmail); grew the active user base to over 20,000. Optimised user retention via A/B tests and cohort analysis, contributing to a 40% increase in 30-day retention. Built and maintained real-time dashboards in Zoho Analytics. Supported the launch of gamified features, increasing engagement by 25%.

Junior Business Strategy Analyst at Medront Datalabs Pvt Ltd

October 1, 2023 - January 1, 2024

Researched market trends in digital privacy across fintech and healthtech, identifying potential B2B2C partnership opportunities. Assisted in developing client outreach materials ensuring GDPR compliance. Contributed to social media campaigns on LinkedIn and Instagram to support brand awareness.

AI Developer at The Trademark Helpline Ltd

January 1, 2025 - May 1, 2025

Led a multimodal risk-assessment system (NLP: BERT, RapidFuzz, Metaphone; CV: ResNet, pHash) across 4M+ UK IPO filings. Implemented a text/image embedding pipeline with rubric-based risk scoring; cut search time from ~120 mins to <70 sec. Integrated PostgreSQL batch queries and FAISS indexing; delivered explainable outputs for auditable reports. Delivered a production-ready workflow aligned to UK IPO standards, improving consistency and throughput.

Data Strategy & Market Analyst at Girl Geek Network Ltd

February 1, 2025 - April 1, 2025

Conducted SWOT, PESTEL, Porter’s Five Forces, Business Model Canvas, Value Proposition Canvas to assess market position and risk. Produced customer segmentation and competitor benchmarking to inform go-to-market and contributor engagement. Recommended practical steps to improve product–market fit and retention.

MindScape Jr - Cognitive Well-being System at MindScape Jr

August 1, 2022 - September 1, 2023

Developed an Android app with a Random Forest classifier, RASA NLP chatbot, and sentiment analysis pipeline. Implemented end-to-end user monitoring via chat sentiment tracking and secure therapist/guardian access. Ensured safe deployment with activity logging, emergency contacts, and age-appropriate NLP guardrails.