Testimonials

  • Pinned
    Hi Shikha, great session yesterday. Looking forward to the next one!
    Adriano

Services

Priority DM . 2 days reply
FREE
Priority DM . 2 days reply
FREE
Video meeting . 60 mins
200
Video meeting . 30 mins
800
Video meeting . 30 mins
800
Priority DM . 2 days reply
FREE
Video meeting . 30 mins
100
Video meeting . 15 mins
800
Popular
Video meeting . 30 mins
800
Video meeting . 30 mins
1,300

About me

Hi! I’m Shikha Tyagi—an IIT Delhi M.Tech with 12+ years in Data Science, NLP, and Generative/Agentic AI across American Express, Paytm, PeopleStrong, and Yahoo. I’ve delivered enterprise AI solutions (RAG, multimodal image/audio/doc pipelines, fraud detection, face-recognition attendance, Document Analytics) and I train teams to move from demo to deployment with guardrails, observability, and cloud best practices. What I can help you with 1. Interview Prep & Mock Interviews (Analyst → Sr. DS/ML/GenAI) Structured drills, whiteboard problems, case studies, “tell-me-about” stories, and feedback mapped to job levels. 2. Mentoring & Career Roadmaps 30/60/90-day learning plans; project selection; portfolio strategy; transitioning from Excel/SQL → Python → DS → GenAI/Agentic AI. 3. Resume/LinkedIn Reviews Impact bullets, S.T.A.R. stories, recruiter keyword alignment, and role-specific tailoring. 4. Job Prep Projects (guided) Pick, scope, and implement 1–2 showcase projects you can defend in interviews (analytics dashboards, Python ETL, DS modeling, RAG/agents). Domains I cover 1. Data Analytics Case study walkthroughs (A/B, funnels, cohorts), metric design, SQL thinking, dashboard storytelling. Session idea: “Deconstruct a business problem → metrics → quick analysis → stakeholder-ready narrative.” 2. Excel Data cleaning, advanced formulas, pivots, Power Query basics, simple dashboards, interview-style tasks. Session idea: “From raw CSV to an insights dashboard in 45 minutes.” 3. Python Numpy/Pandas, plotting, data pipelines, testing, virtual envs, packaging; performance tips. Session idea: “Turn an analytics notebook into a clean, reusable mini-package.” 4. Data Science Problem framing, EDA, feature engineering, model selection, validation, error analysis, MLOps basics. Session idea: “End-to-end tabular ML with a crisp interview narrative.” 5. Gen AI & Agentic AI Prompts → RAG → tool/function-calling → LangChain/LangGraph/AutoGen → guardrails & evals. Session idea: “Build a tiny RAG and defend it like an interview case.” 6. No-Code Agentic AI Tools Vertex AI Studio / Power Platform / Zapier-Make automations, safe workflows, quick business wins. Session idea: “Automate a lead-followup or FAQ agent without writing code.” 7. Using AI Tools for Productivity Search copilots, writing assistants, spreadsheet copilots, meeting notes, code copilots—safe & efficient usage. Session idea: “Your personal AI workbench: templates, prompts, and repeatable checklists.” How sessions run -- 15–20 min: quick consult / resume scan / goal alignment -- 30–45 min: focused coaching (mock interview, portfolio critique, or hands-on task) -- 60–90 min: deep dive (project scoping, case study, or GenAI/Agentic build mini-lab) You’ll leave with action items, templates, and a short plan. Follow-ups welcome. Who I’m a great fit for - Students & career switchers moving from Excel/SQL to Python/DS/GenAI - Working professionals targeting Analyst / DS / ML / GenAI roles - Founders/teams wanting fast, safe no-code Agentic workflows or a RAG/agent prototype What to bring - Target role/JD + your resume (latest) - 1–2 sample projects or problem statements (if any) - Your top 3 questions (I’ll prioritize them in the session)