Technical Coaching
Data science · coding · AI/LLM evaluation
- Python & SQL reps with feedback
- ML fundamentals & project scoping
- LLM evaluation patterns & pitfalls
- Code review & debugging
- Portfolio guidance (GitHub, write‑ups)
Data • Career • Confidence
Technical & Career Coaching for Data‑Driven Paths
Hands‑on support across data science, coding, AI & LLM evaluation — plus interviews, networking, and clear career storytelling.
- Python · SQL
- ML Basics
- LLM Evaluation
- Interview Prep
- Portfolio
Services
Career Coaching
Interviews · networking · strategy
- Resume & LinkedIn clarity
- Behavioral & technical interview prep
- Networking strategy that feels natural
- Offer review & negotiation
- Transitions: student → industry
Workshops & Groups
Universities · bootcamps · teams
- Interview labs & whiteboard practice
- Python/SQL refreshers with exercises
- LLM evaluation 101 for practitioners
- Career storytelling for data roles
- Custom curriculum on request
Packages & Pricing
Starter
$149/hr
- 1× 60‑minute session
- Action plan & follow‑up notes
- Email check‑ins (1 week)
Most popular
Accelerator
$549/4 sessions
- 4× 60‑minute sessions (8 weeks)
- Resume/LinkedIn cleanup
- Portfolio/project review
- Mock interview + feedback
- Email feedback between sessions
Mentorship
$999/month
- Bi‑weekly coaching (2×/month)
- Async feedback on work
- Career strategy & accountability
- Priority scheduling
Student discounts and sliding scale available upon request.
About Kim
Kim is a data‑driven coach who helps students and professionals build real skills and confidence. She blends clear instruction with hands‑on practice — from Python/SQL and ML basics to interview readiness and career storytelling.
- Practical coaching style with structured plans
- Technical depth in data/AI & LLM evaluation
- Supportive, outcomes‑oriented, and friendly
FAQ
Who is this coaching for?
Undergrads, grad students, and professionals pursuing data‑adjacent roles — analytics, data science, ML, and product roles touching AI/LLMs.
Do you offer technical practice?
Yes — Python/SQL reps, code review, “think‑aloud” exercises, and walkthroughs of real projects and LLM evaluation patterns.
How do sessions work?
We define goals, set a plan, and meet via video (or in person in NYC if available). Expect homework, feedback, and tangible next steps.
What’s the cancellation policy?
24 hours’ notice to reschedule or cancel. Emergencies happen — just reach out.
Contact
Have questions or want to book a free intro? Send a note here.